In Chapter 7, Analyzing Text Data, we have already dealt with sentiment analysis. In Analyzing the sentiment of a sentence recipe, we have analyzed the sentiment of a sentence using a Naive Bayes classifier starting from the data contained in the movie_reviews corpus. On that occasion, we said that sentiment analysis is one of the most popular applications of NLP. Sentiment analysis refers to the process of determining whether a given piece of text is positive or negative. In some variations, we consider "neutral" as a third option.
Using word embedding for Twitter sentiment analysis
Getting ready
In this recipe, we will use the word embedding method to analyze the sentiment of Twitter posts by customers of some...
