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Tweet Sentiment Analysis
course content

Course Content

Tweet Sentiment Analysis

Tweet Sentiment Analysis

IntroductionReading the DataPrint out the Basic Info of our DatasetData PreprocessingEDAPlot the DistributionText CleaningWords CountGenerate a Word CloudText Sentiment AnalysisSentiment Classification

bookText Sentiment Analysis

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.

Task

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

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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.

Task

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

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 10
AVAILABLE TO ULTIMATE ONLY
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