8 Sentiment analysis with a data-driven approach
This chapter covers
- Implementing improved algorithms for sentiment analysis
- Introducing several machine-learning practices and techniques with scikit-learn
- Applying linguistic pipeline and linguistic concepts with spaCy
- Combining use of spaCy and NLTK resources
In the previous chapter, you started looking into sentiment analysis and implemented your first sentiment analyzer using a lexicon-based approach. Recall that sentiment analysis is concerned with the automated detection of sentiment (usually along two dimensions of positive and negative sentiments) for a piece of text. It is a popular task to apply to such opinionated texts as, for example, reviews on movies, restaurants, products, and ...
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