Course Content

Tweet Sentiment Analysis: Classifying Emotions on Twitter

1. Analyzing the Sentiment of Tweets

Introduction Reading the Data Print out the Basic Info of our Dataset Data Preprocessing EDA Plot the Distribution Text Cleaning Words Count Generate a Word Cloud Text Sentiment Analysis Sentiment Classification

Words Count

Now we would like to explore the most represented number in our DataFrame. For this reason we will create a collection where we will store the most frequent words and then, plot it.

Task

Remove stopwords from our tweets texts (using the remove_stopword() function);
Create a collection (using the Counter);
Create a DataFrame with the newly created list;
Change the background color to "Blues".

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Section 1. Chapter 8

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Tweet Sentiment Analysis: Classifying Emotions on Twitter

Task

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