Twitter is a social network and microblogging system which limits a single content to 140 words. This limitation did not hinder the grows of users but rather attract people or organization to share, advertise or interact on the platform. 50 millions tweets was sent per day in average. This project is building an Android app which displays and calculates the sentiment value for each tweet. The goal is to achieve a competitive result with Sentiment140 API.
How to run
You must install
Use Eclipse to open each .profile file in Android and Classifier directories and build project. For evaluator, the result will be saved into a JSON file in the working directories.
Compare our result with Sentiment140 result (API available). List the differences and let human judge which one is more accurate.
Sentiment analysis - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Sentiment_analysis
A new ANEW: Evaluation of a word list for sentiment analysis in microblogs http://arxiv.org/abs/1103.2903
Twitter Sentiment Analysis Tutorial Datasets, papers, presentations https://github.com/jeffreybreen/twitter-sentiment-analysis-tutorial-201107
Sentiment - Nodejs implementation for text sentiment analysis Very simply; use AFINN as classifier https://github.com/thisandagain/sentiment
Troll - Node.js and neural network implementation for sentiment analysis Need Redis, basically no training data https://github.com/thisandagain/troll
Twitter sentiment analysis using Python and NLTK | Laurent Luce's Blog http://www.laurentluce.com/posts/twitter-sentiment-analysis-using-python-and-nltk/
Effective Listings of Function Stop words for Twitter Finding Twitter Stop Words http://arxiv.org/abs/1205.6396
Twitter Sentiment Analysis - AFINN http://fnielsen.posterous.com/afinn-a-new-word-list-for-sentiment-analysis
Opinion mining from noisy text data http://dl.acm.org.libaccess.sjlibrary.org/citation.cfm?id=1390763&dl=GUIDE&coll=GUIDE
CyberEmotions - A large-scale collective emotion research for e-communities. http://en.wikipedia.org/wiki/CyberEmotions
Mining and summarizing customer reviews http://dl.acm.org/citation.cfm?id=1014073
Opinion observer http://dl.acm.org/citation.cfm?id=1060797
Sentiment Analysis and Subjectivity A comprehensive tutorial for text sentiment analysis methods. It’s highly recommended to read. http://dl.acm.org/citation.cfm?id=1218990