Lernen Text Sentiment Analysis | Tweet Sentiment Analysis

Kursinhalt

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.

Aufgabe

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

Lösung

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Abschnitt 1. Kapitel 10

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