Uber is a ridesharing app for reliable transport. Whether ordering an Uber ride or getting around on a JUMP e-bike, stress-free travel is just a tap away. Request a ride or a JUMP e-bike through the Uber app, and you’ll be on the move in minutes.Whether you’re going to the airport or across town, there’s an Uber for every occasion.
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VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Uber is available in more than 500 cities worldwide – download the app and take your first trip today.Requesting your Uber is easy – here’s how it works:- Just open the app and tell us where you want to go.- The app uses your location so your driver knows where to pick you up.- You’ll see your driver’s picture and vehicle details, and can track their arrival on the map.- Payment can be made by credit card, cash (in selected cities only), Android Pay, PayPal and more.- After the ride, you can rate your driver and provide feedback to help us improve the Uber experience. You’ll also get a receipt by email.Need a simple way to get from A to B quickly? Take uberX, our most affordable option for individual travel.Want to save money on your ride? Take uberPOOL – you’ll travel with other riders heading in the same direction, and enjoy a lower fare.Want a more exclusive experience? Take a high-end vehicle with UberBLACK. And there are even more options – whether you’re travelling with a big group or need a vehicle with accessibility features.Looking for an even easier option? Faster than driving a car in the city, JUMP is the new, fun way to get where you need to be.
JUMP e-bikes are now available to rent through the Uber app; they’re just like a bicycle, but with an electric motor that makes them easier to use.Getting started with JUMP couldn’t be simpler:- Locate your nearest JUMP e-bikes on the Uber app- Unlock your bike using the app and you’re ready to get moving!Forget the chaos of public transit during rush hour, add a bit of exercise to your commute, and better your city’s carbon footprint – all in one quick, safe journey with JUMP. Using a JUMP e-bike isn’t just convenient and an efficient way to get to your destination, it’s also enjoyable.See if Uber is available in your city at us on Twitter at us on Facebook at https://www.facebook.com/uber. By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments. AFinitDataCallback(key: 'ds:17', isError: false, hash: '25', data:functionreturn 'gp:AOqpTOEEPKm8hIqsr42xdERtVV1pEP88jfXp8HLkzUhnGX2OOzKbDX9mw-uS-2G7gLWPLCaHTpSTjrM6gjfevJw','Dayna Nicole',null,2,null,null,null,'ridiculous! I used to use this app to get to work 3 years ago. I changed my number since then and now, im locked out of my account. In order for me to gain access, they want me to give card info from a payroll card I had 3 years ago!
That card is long gone!! Why the hell dont you guys have security questions or an alternative way to regain access?? This is absurd.' ,166000000,62,'Uber Technologies, Inc.' ,'Hi Dayna, for issues related to signing in, please visit If the problem still persists, please write to us at t.uber.com/contact and we'll connect.'
,217000000,null,'8','Dayna Nicole',null,null,2,null,null,null,'Dedhia',null,2,null,null,null,'service is nice and all but i am having trouble in online payment every single time!!! It doesn't give me an option to pay online when my ride is going on or even after it is done! The payment option never shows!! I always have to try a book a fake next ride so it can prompt me to finish my previous ride's payment. This is really very annoying and leaves an unnecessary baggage for those of us who like to pay our bills on time!' ,217000000,1,'Uber Technologies, Inc.'
,'Hi Avani, we're sorry to hear about the trouble with payments. To look into this further, please contact our support team with the incident at t.uber.com/contact and we'll take it up from there.' ,873000000,null,'2','Avani Dedhia',null,null,2,null,null,null,'Singh',null,2,null,null,null,'is so disappointing. I used the app to commute a lot but suddenly I noticed that I am not able to book rides.
Upon digging into the issue, I got a reply that you have violated our 'terms and conditions'. The follow up question from my side was - 'Please, elaborate', to which they had no response. I tried creating a new account but they didn't even let me do this.
Never mind, you are not the only cab providers in the city!' ,318000000,34,'Uber Technologies, Inc.' ,'Hi Bhawna, we are sorry to know about your experience with the support team. Please let us know more about the issue by writing at t.uber.com/contact and we'd give our best to get this resolved quickly.' ,838000000,null,'4','Bhawna Singh',null,null,2,null,null,null,'Kalita',null,2,null,null,null,'am trying so hard to get a help from uber team but very poor performance no help till now. I have registered with my phone number and due to some problem I have to uninstall the app. Again when I tried to continue with the same number I could not able to move forward.
I have complaint about the issue to their team thrice but poor response. Bad experience.' ,351000000,1,'Uber Technologies, Inc.' ,'Hi Nilkamal! We are sorry to hear that you're unable to sign in.
For issues related to signing in, please visit If the problem still persists, please write to us at t.uber.com/contact and we'll connect.' ,167000000,null,'4','Nilkamal Kalita',null,null,2,null,null,null,'Canning',null,2,null,null,null,'not let me use the app. 'phone number already in use'.
I had an earlier account which I closed but obviously Uber doesn't want me to restart it. Support has been absolutely useless. If it works for you fine, but if you have any problems forget it. BTW Uber if you respond saying 'please contact us' note that I have already been down that rabbit hole and wasted my time for several weeks. Instead of dealing with the problem you just stopped replying to my emails. Re: reply below see above!'
,987000000,40,'Uber Technologies, Inc.' ,'Hi Stephen, we're sorry to hear that your concern regarding signing in has not been addressed completely. Please visit in order to sign in and if it still doesn't work, we're right here to help you out. Do write back and we'll connect again. Also, your patience is highly appreciated.' ,2000000,null,'5','Stephen Canning',null,null,2,null,null,null,'Dobhal',null,2,null,null,null,'application, easy to use but few suggestions. There should be a fitness test for the uber cabs as most of the times the cabs are not well maintained.
The drivers should be educated on the use of GPS system. The fare should not be fluctuate just within seconds. Also introduce some helpline on which the customer can complain about the rash driving.' ,421000000,208,'Uber Technologies, Inc.' ,'Hi Abhishek! Feedback such as this will help us improve the app and experience with Uber. If there's any specific incident we can look into, let us know by heading to t.uber.com/contact and we'll be sure to follow up with you from there.'
,134000000,null,'3','Abhishek Dobhal',null,null,2,null,null,null,'Wright',null,2,null,null,null,'app is great, but. Whenever you share your route with someone and vice versa, their exact position does not show up on the map in real-time at all. The map pulls up like its supposed to but their vehicle or mine does not show up on the map. Definitely a glitch in the Matrix here.Update.
Thanks, I'll try that. Just recently when my friend shared her trip with me, I tapped on the text link.
It took me to the website instead the app where I was able to watch her route in real-time. Ud83dude09ud83dudc4dud83cudffe',857000000,462,'Uber Technologies, Inc.' Sorry to hear about the concern you had regarding your shared trips. We request you to clear the app cache from your phone settings and try again. If the same doesn't work, reach out to us at t.uber.com/contact and we'll look into it for you.'
,452000000,null,'2','Jey Wright',null,null,2,null,null,null,'Tasneem',null,2,null,null,null,'used to love this app. But I am having the worst experience with this app nowadays.The drivers don't open the nevigation until the very last moment when they are not finding you at all or when they already took the wrong direction.
I was charged 30 taka today when my driver didn't open the navigation and finally he canceled the ride saying he can't find me.If the drivers are that much ignorant about using navigation, then why the hell would people call an uber taxi and pay loads of money?' ,142000000,18,'Uber Technologies, Inc.' ,'Hi Tasnuva, we're sorry to hear that you've been charged for the ride.
Let's make sure we follow up with you regarding this. Send in a quick note to t.uber.com/contact and we'll connect.' ,715000000,null,'8','Tasnuva Tasneem',null,null,2,null,null,null,'Dedhia',null,2,null,null,null,'app is excellent, with very intuitive design and comfortable to use. A couple of things could be improved though: 1. There must be an option to reach someone in an emergency situation. Right now even the SOS option asks to call the local police number (100 in case of Mumbai).
In case of card payment, it doesn't complete the payment until you book your next ride. Because of this you spend 2 mins completing payment for your previous ride, when you are in a hurry to book a ride.'
,475000000,258,null,null,'7','Mahesh Dedhia',null,null,2,null,null,null,'Phillips',null,2,null,null,null,'app works fine for ordering a car, making a payment, etc. But the display is terrible. Once you order a car, you can't see the map or how long its going to take for the driver to arrive because its covered it's with text boxes and there is no way to close them.
Please add the option to exit out of the messages about where to meet, sharing my ride, etc. So I can see the map.' ,888000000,345,'Uber Technologies, Inc.' Sorry to hear about the concern you had regarding the maps. We request you to clear the app cache from your phone settings and try again.
If the same doesn't work, reach out to us at t.uber.com/contact and we'll look into it for you.' ,707000000,null,'5','Shay Phillips',null,null,2,null,null,null,'Roy',null,2,null,null,null,'my account has been blocked because it was violating the terms and conditions.
After 4 years of using the account out of the blue it gets blocked. Nothing has changed same sloppy customer support and their meaningless replies as to how helpless they are in resolving any issue.
A pile of hot mess is all this is.' ,934000000,84,'Uber Technologies, Inc.' ,'Hi Aditya, this certainly sounds frustrating. Let's make sure we follow up with you on this. Please send a quick note to t.uber.com/contact so we can connect.' ,805000000,null,'1','Aditya Roy',null,null,2,null,null,null,'Haley',null,2,null,null,null,'log in due to my number being updated.
No way to contact support without being logged into the app. Tried getting number by calling the driver support line and they gave me an out of service number. Time to go back to using taxis I guess. Currently stuck on the side of the road because of this',832000000,1,'Uber Technologies, Inc.' ,'Hi Melinda, we're sorry to hear that you're facing an issue with signing into your account since you've updated your phone number. For issues related to signing in, please visit. If the problem still persists, please write to us at t.uber.com/contact and we'll connect.'
,515000000,null,'5','Melinda Haley',null,null,2,null,null,null,'Aguila',null,2,null,null,null,'are still glaring issues - customer support + driver abuse of the system. Credit, where credit is due.
I like that the app seems to be gravitating more towards enhancing, not monetizing, the user experience. I'm able to get rides faster than before and the app is more likely to assign me a new driver if one is closer. All free of charge. Good job, Uber. Some things are still pretty terrible, but you've genuinely made strides and improvements.' ,603000000,229,'Uber Technologies, Inc.' ,'Hey Michelle, thanks for letting us know.
We really appreciate your inputs and the feedback from our riders is vitally important to us, and we always want their expectations to be met. Let us know more about it by dropping the details at t.uber.com/contact and we'll connect.' ,300000000,null,'9','Michelle Aguila',null,null,2,null,null,null,'G.'
,null,2,null,null,null,'app won't let me use my payment method. Every time I try to order a ride it says 'Payment Method Unavailable.' I know for a fact it isn't my card because I used o be able to order a ride without any problems. All of a sudden it's doing ridiculous stuff like this, leaving me stuck at my job without a way home. If I could I would give it Zero Stars.'
,146000000,3,'Uber Technologies, Inc.' ,'Hi, we are sorry to hear that you're having issues with your desired payment method. We'd like to sort this out for you. Hence, would really appreciate it if you could send out a description of this with details at t.uber.com/contact and we'll look into it.' ,237000000,null,'0','GAXX G.' ,null,null,2,null,null,null,'117',null,2,null,null,null,'used to be a good app.
The app glitches way too much. I can't see where the driver is going. Everytime I select the correct pick up location but it sends the driver somewhere else. There were a few times where the driver had no idea where they were going, even though the uber app showed them the map, and they still took the wrong directions. Uber needs better drivers.' ,824000000,292,'Uber Technologies, Inc.' ,'Hey Chita, we understand your concern here with the pickup.
Let us know about any specific incident by dropping specific details at t.uber.com/contact and we'll take it up from there.' ,921000000,null,'5','chita 117',null,null,2,null,null,null,'Sobou0148ovu00e1',null,2,null,null,null,'app was great until yesterday, when driver didn't pick me up and left without me and I was forced to paid for this trip.
Bonus thing: trip should be long only 9 minutes, but he drove 19 minutes. I tried to contact support and they told me that in my history is that I took this trip, so I can't ask for refund. And they just shut me down with this answer twice.
Never gonna use Uber anymore.' ,711000000,3,'Uber Technologies, Inc.' ,'Hi, we're sorry to hear that you've been charged for the trip. Let's make sure we follow up with you regarding this. Send in a quick note to t.uber.com/contact and we'll connect.'
,619000000,null,'7','Magdalu00e9na Sobou0148ovu00e1',null,null,2,null,null,null,'Sweeney',null,2,null,null,null,'you lose your phone number, it becomes impossible to use and they have no assistance for this issue. I go to sign in, it asks to verify via phone number. I can either attempt to use my current one to no avail, or use the old one I used during sign up with no hope because I have 0 access to that number. I dont have the number that's on the account! And I dont have recent receipts because I can't sign in to use the app.
This is why I'm having problems and why I'd prefer to use other apps!!' ,520000000,236,'Uber Technologies, Inc.'
,'Hi Zachary, this certainly sounds frustrating. For issues related to signing in, please visit. If the problem still persists, please write to us at t.uber.com/contact and we'll connect.' ,838000000,null,'1','Zachary Sweeney',null,null,2,null,null,null,'Cee',null,2,null,null,null,'app is HORRIBLE. I've had to uninstall and reinstall 8 times this week get it to work.
It works for 1 ride after the reinstall, and then it craps out again. Every time is a different issue.
Not showing prices, not letting me enter a destination, the map not updating, telling me uber is not available in my area despite the fact I've used it a million times. For a company this size to have such an absolutely abysmal app is inexcusable.' ,511000000,231,'Uber Technologies, Inc.'
,'Hey Jay, we are sorry to hear about your concern with the app. We request you to try and clear the Uber Rider app cache from your phone settings. If you are still unable to make it work, reach out to us at t.uber.com/contact and we will look into this.'
,569000000,null,'5','Jay Cee',null,null,2,null,null,null,'Sharma',null,2,null,null,null,'was happy using this app, untill one day i realised that it was changing pickup location by itself, and that was not only a few steps but 2 to 3 km apart, and then every time i had to contact the driver to not to reach on that location, but by then i had been charged for that. This is sad, it happened to me twice. After that, i have to think twice before i need to get a cab. Seems like location services are not synchronising well with the app. I hope to hear from Uber team very soon.'
,831000000,215,'Uber Technologies, Inc.' ,'Hi Nidhi, we are sorry to hear about your concern with the pickup location. We request you to try and clear the Uber app cache from your phone settings. If you are still unable to make it work, reach out to us at t.uber.com/contact and we will look into this.'
,484000000,null,'9','Nidhi Sharma',null,null,2,null,null,null,'Johnson',null,2,null,null,null,'adding payment method. Worked fine for a day and then I clicked edit and the card info disappeared and it would never let me successfully add a card again, even a different card, even after reinstalling the app. I fill all the info, hit submit, and then it goes back to the payment methods screen and does not reflect my new card has been added. PayPal added fine. Only seems to be an issue with credit and debit cards.'
,579000000,21,'Uber Technologies, Inc.' ,'Hi Cade, we're sorry to hear about the trouble you had while adding your payment method. We want to take a closer look into this for you. Please send a quick note to t.uber.com/contact and we'll take it up from there.' ,205000000,null,'9','Cade Johnson',null,null,2,null,null,null,'me 20 minutes before a trip to the airport - that I scheduled more than a day in advance - that my payment method wasn't working. Scrambled to re-enter it multiple times as well as another card. Both cards have worked fine everywhere else.
Nothing worked, thankfully someone else was able to drive me. I'll never use this app again for anything critical like that.'
Latest version
Released:
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Project description
VADER-Sentiment-Analysis
VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is *specifically attuned to sentiments expressed in social media*. It is fully open-sourced under the `[MIT License] <http://choosealicense.com/>`_ (we sincerely appreciate all attributions and readily accept most contributions, but please don't hold us liable). * `Features and Updates`_ * Introduction_ * `Citation Information`_ * Installation_ * `Resources and Dataset Descriptions`_ * `Python Code Example`_ * `About the Scoring`_ * `Ports to Other Programming Languages`_ Features and Updates ------------------------------------ Many thanks to George Berry, Ewan Klein, Pierpaolo Pantone for key contributions to make VADER better. The new updates includes capabilities regarding: #. Refactoring for Python 3 compatibility, improved modularity, and incorporation into `[NLTK] <http://www.nltk.org/_modules/nltk/sentiment/vader.html>`_ ...many thanks to Ewan & Pierpaolo. #. Restructuring for much improved speed/performance, reducing the time complexity from something like O(N^4) to O(N)...many thanks to George. #. Simplified pip install and better support for vaderSentiment module and component import. (Dependency on vader_lexicon.txt file now uses automated file location discovery so you don't need to manually designate its location in the code, or copy the file into your executing code's directory.) #. More complete demo in the ``__main__`` for ``vaderSentiment.py``. The demo has: * examples of typical use cases for sentiment analysis, including proper handling of sentences with: - typical negations (e.g., '*not* good') - use of contractions as negations (e.g., '*wasn't* very good') - conventional use of **punctuation** to signal increased sentiment intensity (e.g., 'Good!!!') - conventional use of **word-shape** to signal emphasis (e.g., using ALL CAPS for words/phrases) - using **degree modifiers** to alter sentiment intensity (e.g., intensity *boosters* such as 'very' and intensity *dampeners* such as 'kind of') - understanding many **sentiment-laden slang** words (e.g., 'sux') - understanding many sentiment-laden **slang words as modifiers** such as 'uber' or 'friggin' or 'kinda' - understanding many sentiment-laden **emoticons** such as :) and :D - translating **utf-8 encoded emojis** such as ? and ? and ? - understanding sentiment-laden **initialisms and acronyms** (for example: 'lol') * more examples of **tricky sentences** that confuse other sentiment analysis tools * example for how VADER can work in conjunction with NLTK to do **sentiment analysis on longer texts**...i.e., decomposing paragraphs, articles/reports/publications, or novels into sentence-level analyses * examples of a concept for assessing the sentiment of images, video, or other tagged **multimedia content** * if you have access to the Internet, the demo has an example of how VADER can work with analyzing sentiment of **texts in other languages** (non-English text sentences). Introduction This README file describes the dataset of the paper: | **VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text** | (by C.J. Hutto and Eric Gilbert) | Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014. | For questions, please contact: | C.J. Hutto | Georgia Institute of Technology, Atlanta, GA 30032 | cjhutto [at] gatech [dot] edu Citation Information ------------------------------------ If you use either the dataset or any of the VADER sentiment analysis tools (VADER sentiment lexicon or Python code for rule-based sentiment analysis engine) in your research, please cite the above paper. For example: **Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.** Installation There are a couple of ways to install and use VADER sentiment: #. The simplest is to use the command line to do an installation from `[PyPI] <https://pypi.python.org/pypi/vaderSentiment>`_ using pip, e.g., ``> pip install vaderSentiment`` #. Or, you might already have VADER and simply need to upgrade to the latest version, e.g., ``> pip install --upgrade vaderSentiment`` #. You could also clone this `[GitHub repository] <https://github.com/cjhutto/vaderSentiment>`_ #. You could download and unzip the `[full master branch zip file] <https://github.com/cjhutto/vaderSentiment/archive/master.zip>`_ In addition to the VADER sentiment analysis Python module, options 3 or 4 will also download all the additional resources and datasets (described below). Resources and Dataset Descriptions The package here includes **PRIMARY RESOURCES** (items 1-3) as well as additional **DATASETS AND TESTING RESOURCES** (items 4-12): #. vader_icwsm2014_final.pdf The original paper for the data set, see citation information (above). #. vader_lexicon.txt FORMAT: the file is tab delimited with TOKEN, MEAN-SENTIMENT-RATING, STANDARD DEVIATION, and RAW-HUMAN-SENTIMENT-RATINGS NOTE: The current algorithm makes immediate use of the first two elements (token and mean valence). The final two elements (SD and raw ratings) are provided for rigor. For example, if you want to follow the same rigorous process that we used for the study, you should find 10 independent humans to evaluate/rate each new token you want to add to the lexicon, make sure the standard deviation doesn't exceed 2.5, and take the average rating for the valence. This will keep the file consistent. DESCRIPTION: Empirically validated by multiple independent human judges, VADER incorporates a 'gold-standard' sentiment lexicon that is especially attuned to microblog-like contexts. The VADER sentiment lexicon is sensitive both the **polarity** and the **intensity** of sentiments expressed in social media contexts, and is also generally applicable to sentiment analysis in other domains. Sentiment ratings from 10 independent human raters (all pre-screened, trained, and quality checked for optimal inter-rater reliability). Over 9,000 token features were rated on a scale from '[–4] Extremely Negative' to '[4] Extremely Positive', with allowance for '[0] Neutral (or Neither, N/A)'. We kept every lexical feature that had a non-zero mean rating, and whose standard deviation was less than 2.5 as determined by the aggregate of those ten independent raters. This left us with just over 7,500 lexical features with validated valence scores that indicated both the sentiment polarity (positive/negative), and the sentiment intensity on a scale from –4 to +4. For example, the word 'okay' has a positive valence of 0.9, 'good' is 1.9, and 'great' is 3.1, whereas 'horrible' is –2.5, the frowning emoticon :( is –2.2, and 'sucks' and it's slang derivative 'sux' are both –1.5. Manually creating (much less, validating) a comprehensive sentiment lexicon is a labor intensive and sometimes error prone process, so it is no wonder that many opinion mining researchers and practitioners rely so heavily on existing lexicons as primary resources. We are pleased to offer ours as a new resource. We began by constructing a list inspired by examining existing well-established sentiment word-banks (LIWC, ANEW, and GI). To this, we next incorporate numerous lexical features common to sentiment expression in microblogs, including: * a full list of Western-style emoticons, for example, :-) denotes a smiley face and generally indicates positive sentiment * sentiment-related acronyms and initialisms (e.g., LOL and WTF are both examples of sentiment-laden initialisms) * commonly used slang with sentiment value (e.g., nah, meh and giggly). We empirically confirmed the general applicability of each feature candidate to sentiment expressions using a wisdom-of-the-crowd (WotC) approach (Surowiecki, 2004) to acquire a valid point estimate for the sentiment valence (polarity & intensity) of each context-free candidate feature. #. vaderSentiment.py The Python code for the rule-based sentiment analysis engine. Implements the grammatical and syntactical rules described in the paper, incorporating empirically derived quantifications for the impact of each rule on the perceived intensity of sentiment in sentence-level text. Importantly, these heuristics go beyond what would normally be captured in a typical bag-of-words model. They incorporate **word-order sensitive relationships** between terms. For example, degree modifiers (also called intensifiers, booster words, or degree adverbs) impact sentiment intensity by either increasing or decreasing the intensity. Consider these examples: (a) 'The service here is extremely good' (b) 'The service here is good' (c) 'The service here is marginally good' From Table 3 in the paper, we see that for 95% of the data, using a degree modifier increases the positive sentiment intensity of example (a) by 0.227 to 0.36, with a mean difference of 0.293 on a rating scale from 1 to 4. Likewise, example (c) reduces the perceived sentiment intensity by 0.293, on average. #. tweets_GroundTruth.txt FORMAT: the file is tab delimited with ID, MEAN-SENTIMENT-RATING, and TWEET-TEXT DESCRIPTION: includes 'tweet-like' text as inspired by 4,000 tweets pulled from Twitter’s public timeline, plus 200 completely contrived tweet-like texts intended to specifically test syntactical and grammatical conventions of conveying differences in sentiment intensity. The 'tweet-like' texts incorporate a fictitious username (@anonymous) in places where a username might typically appear, along with a fake URL (http://url_removed) in places where a URL might typically appear, as inspired by the original tweets. The ID and MEAN-SENTIMENT-RATING correspond to the raw sentiment rating data provided in 'tweets_anonDataRatings.txt' (described below). #. tweets_anonDataRatings.txt FORMAT: the file is tab delimited with ID, MEAN-SENTIMENT-RATING, STANDARD DEVIATION, and RAW-SENTIMENT-RATINGS DESCRIPTION: Sentiment ratings from a minimum of 20 independent human raters (all pre-screened, trained, and quality checked for optimal inter-rater reliability). #. nytEditorialSnippets_GroundTruth.txt FORMAT: the file is tab delimited with ID, MEAN-SENTIMENT-RATING, and TEXT-SNIPPET DESCRIPTION: includes 5,190 sentence-level snippets from 500 New York Times opinion news editorials/articles; we used the NLTK tokenizer to segment the articles into sentence phrases, and added sentiment intensity ratings. The ID and MEAN-SENTIMENT-RATING correspond to the raw sentiment rating data provided in 'nytEditorialSnippets_anonDataRatings.txt' (described below). #. nytEditorialSnippets_anonDataRatings.txt FORMAT: the file is tab delimited with ID, MEAN-SENTIMENT-RATING, STANDARD DEVIATION, and RAW-SENTIMENT-RATINGS DESCRIPTION: Sentiment ratings from a minimum of 20 independent human raters (all pre-screened, trained, and quality checked for optimal inter-rater reliability). #. movieReviewSnippets_GroundTruth.txt FORMAT: the file is tab delimited with ID, MEAN-SENTIMENT-RATING, and TEXT-SNIPPET DESCRIPTION: includes 10,605 sentence-level snippets from rotten.tomatoes.com. The snippets were derived from an original set of 2000 movie reviews (1000 positive and 1000 negative) in Pang & Lee (2004); we used the NLTK tokenizer to segment the reviews into sentence phrases, and added sentiment intensity ratings. The ID and MEAN-SENTIMENT-RATING correspond to the raw sentiment rating data provided in 'movieReviewSnippets_anonDataRatings.txt' (described below). #. movieReviewSnippets_anonDataRatings.txt FORMAT: the file is tab delimited with ID, MEAN-SENTIMENT-RATING, STANDARD DEVIATION, and RAW-SENTIMENT-RATINGS DESCRIPTION: Sentiment ratings from a minimum of 20 independent human raters (all pre-screened, trained, and quality checked for optimal inter-rater reliability). #. amazonReviewSnippets_GroundTruth.txt FORMAT: the file is tab delimited with ID, MEAN-SENTIMENT-RATING, and TEXT-SNIPPET DESCRIPTION: includes 3,708 sentence-level snippets from 309 customer reviews on 5 different products. The reviews were originally used in Hu & Liu (2004); we added sentiment intensity ratings. The ID and MEAN-SENTIMENT-RATING correspond to the raw sentiment rating data provided in 'amazonReviewSnippets_anonDataRatings.txt' (described below). #. amazonReviewSnippets_anonDataRatings.txt FORMAT: the file is tab delimited with ID, MEAN-SENTIMENT-RATING, STANDARD DEVIATION, and RAW-SENTIMENT-RATINGS DESCRIPTION: Sentiment ratings from a minimum of 20 independent human raters (all pre-screened, trained, and quality checked for optimal inter-rater reliability). #. Comp.Social website with more papers/research: [Comp.Social](http://comp.social.gatech.edu/papers/) Python Code Example For a **more complete demo**, point your terminal to vader's install directory (e.g., if you installed using pip, it might be ``Python3xlibsite-packagesvaderSentiment``), and then run ``python vaderSentiment.py``. The demo has more examples of tricky sentences that confuse other sentiment analysis tools. It also demonstrates how VADER can work in conjunction with NLTK to do sentiment analysis on longer texts...i.e., decomposing paragraphs, articles/reports/publications, or novels into sentence-level analysis. It also demonstrates a concept for assessing the sentiment of images, video, or other tagged multimedia content. If you have access to the Internet, the demo will also show how VADER can work with analyzing sentiment of non-English text sentences. :: from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer #note: depending on how you installed (e.g., using source code download versus pip install), you may need to import like this: #from vaderSentiment import SentimentIntensityAnalyzer # --- examples ------- sentences = ['VADER is smart, handsome, and funny.', # positive sentence example 'VADER is smart, handsome, and funny!', # punctuation emphasis handled correctly (sentiment intensity adjusted) 'VADER is very smart, handsome, and funny.', # booster words handled correctly (sentiment intensity adjusted) 'VADER is VERY SMART, handsome, and FUNNY.', # emphasis for ALLCAPS handled 'VADER is VERY SMART, handsome, and FUNNY!!!', # combination of signals - VADER appropriately adjusts intensity 'VADER is VERY SMART, uber handsome, and FRIGGIN FUNNY!!!', # booster words & punctuation make this close to ceiling for score 'VADER is not smart, handsome, nor funny.', # negation sentence example 'The book was good.', # positive sentence 'At least it isn't a horrible book.', # negated negative sentence with contraction 'The book was only kind of good.', # qualified positive sentence is handled correctly (intensity adjusted) 'The plot was good, but the characters are uncompelling and the dialog is not great.', # mixed negation sentence 'Today SUX!', # negative slang with capitalization emphasis 'Today only kinda sux! But I'll get by, lol', # mixed sentiment example with slang and constrastive conjunction 'but' 'Make sure you :) or :D today!', # emoticons handled 'Catch utf-8 emoji such as such as ? and ? and ?', # emojis handled 'Not bad at all' # Capitalized negation ] analyzer = SentimentIntensityAnalyzer() for sentence in sentences: vs = analyzer.polarity_scores(sentence) print('{:-<65} {}'.format(sentence, str(vs))) For a **more complete demo**, go to the install directory and run ``python vaderSentiment.py``. (Be sure you are set to handle UTF-8 encoding in your terminal or IDE.) Output for the above example code :: VADER is smart, handsome, and funny.----------------------------- {'pos': 0.746, 'compound': 0.8316, 'neu': 0.254, 'neg': 0.0} VADER is smart, handsome, and funny!----------------------------- {'pos': 0.752, 'compound': 0.8439, 'neu': 0.248, 'neg': 0.0} VADER is very smart, handsome, and funny.------------------------ {'pos': 0.701, 'compound': 0.8545, 'neu': 0.299, 'neg': 0.0} VADER is VERY SMART, handsome, and FUNNY.------------------------ {'pos': 0.754, 'compound': 0.9227, 'neu': 0.246, 'neg': 0.0} VADER is VERY SMART, handsome, and FUNNY!!!---------------------- {'pos': 0.767, 'compound': 0.9342, 'neu': 0.233, 'neg': 0.0} VADER is VERY SMART, uber handsome, and FRIGGIN FUNNY!!!--------- {'pos': 0.706, 'compound': 0.9469, 'neu': 0.294, 'neg': 0.0} VADER is not smart, handsome, nor funny.------------------------- {'pos': 0.0, 'compound': -0.7424, 'neu': 0.354, 'neg': 0.646} The book was good.----------------------------------------------- {'pos': 0.492, 'compound': 0.4404, 'neu': 0.508, 'neg': 0.0} At least it isn't a horrible book.------------------------------- {'pos': 0.363, 'compound': 0.431, 'neu': 0.637, 'neg': 0.0} The book was only kind of good.---------------------------------- {'pos': 0.303, 'compound': 0.3832, 'neu': 0.697, 'neg': 0.0} The plot was good, but the characters are uncompelling and the dialog is not great. {'pos': 0.094, 'compound': -0.7042, 'neu': 0.579, 'neg': 0.327} Today SUX!------------------------------------------------------- {'pos': 0.0, 'compound': -0.5461, 'neu': 0.221, 'neg': 0.779} Today only kinda sux! But I'll get by, lol----------------------- {'pos': 0.317, 'compound': 0.5249, 'neu': 0.556, 'neg': 0.127} Make sure you :) or :D today!------------------------------------ {'pos': 0.706, 'compound': 0.8633, 'neu': 0.294, 'neg': 0.0} Catch utf-8 emoji such as ? and ? and ?-------------------- {'pos': 0.279, 'compound': 0.7003, 'neu': 0.721, 'neg': 0.0} Not bad at all--------------------------------------------------- {'pos': 0.487, 'compound': 0.431, 'neu': 0.513, 'neg': 0.0} About the Scoring * The ``compound`` score is computed by summing the valence scores of each word in the lexicon, adjusted according to the rules, and then normalized to be between -1 (most extreme negative) and +1 (most extreme positive). This is the most useful metric if you want a single unidimensional measure of sentiment for a given sentence. Calling it a 'normalized, weighted composite score' is accurate. It is also useful for researchers who would like to set standardized thresholds for classifying sentences as either positive, neutral, or negative. Typical threshold values (used in the literature cited on this page) are: #. **positive sentiment**: ``compound`` score >= 0.05 #. **neutral sentiment**: (``compound`` score > -0.05) and (``compound`` score < 0.05) #. **negative sentiment**: ``compound`` score <= -0.05 * The ``pos``, ``neu``, and ``neg`` scores are ratios for proportions of text that fall in each category (so these should all add up to be 1... or close to it with float operation). These are the most useful metrics if you want multidimensional measures of sentiment for a given sentence. Ports to Other Programming Languages Feel free to let me know about ports of VADER Sentiment to other programming languages. So far, I know about these helpful ports: #. Java `VaderSentimentJava <https://github.com/apanimesh061/VaderSentimentJava>`_ by apanimesh061 #. JavaScript `vaderSentiment-js <https://github.com/vaderSentiment/vaderSentiment-js>`_ by nimaeskandary #. PHP `php-vadersentiment <https://github.com/abusby/php-vadersentiment>`_ by abusby #. Scala `Sentiment <https://github.com/ziyasal/Sentiment>`_ by ziyasal Keywords: vader,sentiment,analysis,opinion,mining,nlp,text,data,text analysis,opinion analysis,sentiment analysis,text mining,twitter sentiment,opinion mining,social media,twitter,social,media Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: MIT License Classifier: Natural Language :: English Classifier: Programming Language :: Python :: 3.5 Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence Classifier: Topic :: Scientific/Engineering :: Information Analysis Classifier: Topic :: Text Processing :: Linguistic Classifier: Topic :: Text Processing :: General Description-Content-Type: text/markdown Release historyRelease notifications![]()
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