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Twitter sentiment analysis using Python and NLTK

Twitter sentiment analysis using Python and NLTK
This post describes the implementation of sentiment analysis of tweets using Python and the natural language toolkit NLTK. The post also describes the internals of NLTK related to this implementation. Background The purpose of the implementation is to be able to automatically classify a tweet as a positive or negative tweet sentiment wise. The classifier needs to be trained and to do that, we need a list of manually classified tweets. Let’s start with 5 positive tweets and 5 negative tweets. Positive tweets: I love this car.This view is amazing.I feel great this morning.I am so excited about the concert.He is my best friend. Negative tweets: I do not like this car.This view is horrible.I feel tired this morning.I am not looking forward to the concert.He is my enemy. In the full implementation, I use about 600 positive tweets and 600 negative tweets to train the classifier. Next is a test set so we can assess the exactitude of the trained classifier. Test tweets: Implementation Classifier Classify

http://www.laurentluce.com/posts/twitter-sentiment-analysis-using-python-and-nltk/

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Book Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit Steven Bird, Ewan Klein, and Edward Loper The NLTK book is currently being updated for Python 3 and NLTK 3. For Academics - Sentiment140 - A Twitter Sentiment Analysis Tool Is the code open source? Unfortunately the code isn't open source. There are a few tutorials with open source code that have similar implementations to ours: Format Data file format has 6 fields:0 - the polarity of the tweet (0 = negative, 2 = neutral, 4 = positive)1 - the id of the tweet (2087)2 - the date of the tweet (Sat May 16 23:58:44 UTC 2009)3 - the query (lyx). If there is no query, then this value is NO_QUERY.4 - the user that tweeted (robotickilldozr)5 - the text of the tweet (Lyx is cool) If you use this data, please cite Sentiment140 as your source.

Text Processing in Python (a book) A couple of you make donations each month (out of about a thousand of you reading the text each week). Tragedy of the commons and all that... but if some more of you would donate a few bucks, that would be great support of the author. In a community spirit (and with permission of my publisher), I am making my book available to the Python community. Minor corrections can be made to later printings, and at the least errata noted on this website.

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