vaderSentiment
twurl
vaderSentiment | twurl | |
---|---|---|
20 | 42 | |
4,179 | 1,790 | |
- | 0.1% | |
0.0 | 2.2 | |
over 1 year ago | 10 months ago | |
Python | Ruby | |
MIT License | MIT License |
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vaderSentiment
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Walmart, Delta, and Starbucks are using AI to monitor employee messages
There's overlap, but many traditional NLP techniques are heuristics based. Here's an example: https://github.com/cjhutto/vaderSentiment
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Turbocharge your application development using WebAssembly with SingleStoreDB
Our code uses VADER (Valence Aware Dictionary and sEntiment Reasoner). VADER is a lexicon and rule-based sentiment analysis tool that can interpret and classify emotions.
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Finding the saltiest NFL fanbase by analyzing 5 years of Reddit posts
My analyses focused on whether word usage within these threads, from 2017-2021, was positive or negative. The average level of positivity vs. negativity — often referred to as the “valence” — was scored using VADER, a language processing tool designed for online settings. Valence was averaged separately for wins and losses, then averaged again to generate a team’s overall valence score; this procedure controls for a team’s loss rate, and thus low scores do not simply reflect that a team frequently loses.
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I want to do a sentiment analysis that classifies tweets into 'positive' and 'negative' , any good resources for doing this?
I did this all as a node project but it looks like there's a python package available here - https://github.com/cjhutto/vaderSentiment
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[OC] Twitter Sentiment On Will Smith Before and After Slap
Sources: Info on VADER, VADER Dictionary (word, score, other data), VADER's special rules, original paper by the authors.
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I made a site that tracks stock mentions and sentiment from over 180 subreddits.
C++, PHP, Javascript and vader
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I made a site that tracks stock and crypto mentions and sentiment from over 180 subreddits.
vader - a sentiment analysis tool developed by researchers at Georgia Tech
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Growing up Muslim I used to get my ass kicked for being “girly”. Dad, if only you could see me now.
It's a fairly standard piece of machine learning called sentiment analysis. Human volunteers rate a corpus of texts as either positive or negative sentiment. A machine learning algorithm is then trained to predict those sentiment scores from the text itself. Sentiment analysis is widely used in comment and review moderation. If you use Python you can play around with open-source examples such as VADER yourself. While they can't always pick up on sarcasm or irony in general they do pretty well on picking up general trends.
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Thoughts/Critiques of an NLP Sentiment Analysis Project
You could try applying VADER (designed to handle social media data esp. Twitter) to tweets containing the word "apple" vs. "banana", and compare the sentiment scores.
- Amazing positivity in this community keep it up!:)
twurl
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ManyShiba - The World's Greatest Twitter Bot
After registering a Twitter App, make sure to enable Read/Write permissions in the App settings. Create an .env file in the root of the project based on .env.example. We can use this data in our file with an object like this:
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Error 453 - Tweepy with Python
Hello guys! I have spent a few hours now, trying to get my tweepy to work. I have made an app on developer.twitter.com, trying to post somwthing on twitter. I feel like I have tried everything, and I have even consulted my friend ChatGPT for help, but I keep getting lost in the documentation and GPT is of no help in this case!
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AmputatorBot: Saluting 1K Members and Waving Off Twitter
Please visit developer.twitter.com to sign up to our new Free, Basic or Enterprise access tiers.
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I made an open-source app to export your Reddit or Twitter Bookmarks directly into Notion.
In the meantime, you can learn more about the Twitter API v2 and find resources on developer.twitter.com. We appreciate your continued interest in developing on the Twitter API.
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Building your own Twitter Thread Generator
As a prerequisite, you need a Twitter Developer account. With a Twitter account, it's easy: navigate to https://developer.twitter.com and register a new app. Make sure that you create a Twitter app that has read and write permissions!
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Some popular accounts likely to disappear from Twitter as Elon Musk ends free access to API
This kind of has us scrambling a bit, actually. Not because we'd have to pay per se, but rather we've been using their API for so long on our website (and def still on v1.1) that now when we check the developer site it just funnels to a "Sign up" and no longer shows us our existing/old apps, so we cannot find/figure out which account was linked to our production credentials (and that's really on us for not staying on top of which account that was).
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Take ownership of your Twitter data, set-up your own Twitter updated archive in GitHub
To start the process to become a "Twitter developer" visit developer.twitter.com, sign-in and start the process... It may be an annoying process with manually reviews.
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20 Unique APIs For Your Next Project
Twitter API
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Create a Twitter bot in python - part 1
2 - Create a developer account that you will associate with your Twitter account. To do this, go to https://developer.twitter.com. You click on Sign up, then you will have to follow the instructions and choose the Bot option for the use you will make of the API. Once you have created your account, you will be assigned a Bearer Token. Keep it safe, as you will need it to make your requests later.
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How to use Twitter OAuth 2.0 and Passport.js for user login
To start using Twitter API, you need to register for a developer account (including phone number verification). Once you register, you will be prompted to create the first application. You will immediately receive API Key and API Key Secret – but ignore them, since these are only for OAuth 1.0. Instead, go to your project's dashboard, there go to the App Settings of the only application you created. In application settings, find User authentication settings and click Set up.
What are some alternatives?
tweets-docker-pipeline - Docker pipeline for streaming tweets and their sentiment score to a Slack channel
Tweepy - Twitter for Python!
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
ish - Linux shell for iOS
PRAW - PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.
Docker Compose - Define and run multi-container applications with Docker
Visual Studio Code - Visual Studio Code
PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
azure-docs - Open source documentation of Microsoft Azure
pushwasm - Utility to push a Wasm UDF into SingleStoreDB
azure-storage-node - Microsoft Azure Storage SDK for Node.js