July 2017
Beginner to intermediate
715 pages
17h 3m
English
The application will prompt the user for a set of selection criteria, which include topic and sub-topic areas, and the number of tweets to process. The analysis performed will simply compute and display the number of positive and negative tweets for a topic and sub-topic. We used a generic sentiment analysis model, which will affect the quality of the sentiment analysis. However, other models and more analysis can be added.
We will use a Java 8 stream to structure the processing of tweet data. It is a stream of TweetHandler objects, as we will describe shortly.
We use several classes in this application. They are summarized here:
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