13.14 Tweet Sentiment Analysis
In the “Natural Language Processing (NLP)” chapter, we demonstrated sentiment analysis on sentences. Many researchers and companies perform sentiment analysis on tweets. For example, political researchers might check tweet sentiment during elections season to understand how people feel about specific politicians and issues. Companies might check tweet sentiment to see what people are saying about their products and competitors’ products.
In this section, we’ll use the techniques introduced in the preceding section to create a script (sentimentlistener.py) that enables you to check the sentiment on a specific topic. The script will keep totals of all the positive, neutral and negative tweets it processes and display ...
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