Twitter Sentiment Analyzer

Twitter Sentiment Analyzer
Alternatives To Twitter Sentiment Analyzer
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Stocksight1,557
a year ago8apache-2.0Python
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis460
2 months ago21mitPython
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
Twitter Sentiment Analysis Tutorial 201107373
13 years ago3otherR
Code to reproduce the simple sentiment analysis from my presentation
Twitter Sent Dnn263
4 years ago9mitPython
Deep Neural Network for Sentiment Analysis on Twitter
Stock Predictor250
10 years ago4Python
Listens for Stock news on Twitter, performs sentiment analysis by mining information from an online news source, performs supervised predictive modeling and suggests buy or sell decisions of the stock. Computes portfolio returns over time.
Tweetfeels246
5 years ago10November 11, 20185bsd-3-clausePython
Real-time sentiment analysis in Python using twitter's streaming api
Tweeteval218
2 years ago12Jupyter Notebook
Repository for TweetEval
Tweeql194
210 years ago12February 26, 2013Python
TweeQL is a Query Language for Tweets: SELECT brand(text) AS brand, sentiment(text) AS sentiment FROM twitter_sample;
Twitter Sentiment Visualisation189
5 months ago8CoffeeScript
🌍 Sentiment analysis over real-time social media data, rendering live charts to visualise trends
Datastories Semeval2017 Task4171
6 years ago8mitPython
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
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