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Understanding Python Sentiment Analysis Methodology
Beginner Level

Understanding Python Sentiment Analysis Methodology

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Understanding Python Sentiment Analysis Methodology

This free online development course unpacks the tools and methods used for Python sentiment analysis.
Does the idea of automation excite you? This free online course will give you a sound understanding of Python sentiment analysis methodology. To take this course, a good command of Python will be beneficial. ... Does the idea of automation excite you? This free online course will give you a sound understanding of Python sentiment analysis methodology. To take this course, a good command of Python will be beneficial. We will introduce you to TextBlob, along with lemmatization and tokenization methods. Then, we will delve into the automation domain, and you’ll become a master of sentiment classification and visualization.
COURSE PUBLISHER Kelvin FosuPassionate business development tutor

What You Will Learn In This Free Course

  • Discuss sentiment analysis...
  • Describe the Python download and in...
  • Define polarity and subjectivity...
  • Explain the use of TextBlobs...
  • 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
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