Lære Text Sentiment Analysis | Tweet Sentiment Analysis

Kursusindhold

Tweet Sentiment Analysis

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

Now that we have prepared our data to be finally classified we will rely on a famous Python library called TextBlob. This package allows us to perform a sentiment analysis for any given text.

Opgave

Swipe to start coding

Import the TextBlob package.
Experiment with your own text and see the score (sentiment) that is returned.
Print out the result.

Løsning

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Sektion 1. Kapitel 10

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