
Practical Data Analysis
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In this chapter we will see how to perform sentiment analysis over Twitter data. Initially, we introduce the Twitter API with Python. Then, we distinguish the basic elements of a sentiment classification. Finally, we present the Natural Language Toolkit (NLTK) to implement the tweets' sentiment analyzer.
In this chapter we will cover:
The anatomy of Twitter data
Using OAuth to access Twitter API
Getting started with Twython:
Simple search/query
Working with timelines
Working with followers
Working with places and trends
Sentiment classification:
Effective norms for English words
Text corpus
Get started with Natural Language Toolkit (NLTK)
Bag of words
Naïve Bayes
Sentiment analysis of tweets
In Chapter 4, Text Classification, we presented a basic introduction to text classification. In this chapter, we will perform a sentiment analysis of tweets to rate the emotional value (positive or negative) using classification with Naive Bayes method.
Sentiment analysis...
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