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      Understanding Python Sentiment Analysis Methodology

      Understanding Python Sentiment Analysis Methodology

      Enrolled1.5-3 Hours (Contains Video)
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      1. Understanding Python Sentiment Analysis Methodology
      • Beginner Level

      Understanding Python Sentiment Analysis Methodology

      This free online development course unpacks the tools and methods used for Python sentiment analysis.

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      Understanding Python Sentiment Analysis Methodology
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      Learning Outcomes

      In this free course, you will learn how to:

      • Discuss sentiment analysis
      • Describe the Python download and installation process
      • Define polarity and subjectivity
      • Explain the use of TextBlobs
      • Contrast lemmatization to tokenization
      • Discuss the POS Tag language
      • Explain bigrams, trigrams and Ngrams
      • List the various Anaconda applications
      • Summarize capitalizations, pluralizations and singularizations
      • Describe TextBlob classification
      • Outline loops in Ngrams
      • Relate data frame to the classification of sentiments

      Knowledge & skills you will learn

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