Data Science with Spark : Analyzing Free Text from the Tweets | packtpub.com

597 views · Published 10 March 2017 · 7:37 · Indexed 12 November 2026

Channel: Packt · 2017 · Science & Technology

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Free text is difficult for algorithms. We need to convert words into numerical values. 
• Tokenize and remove stop words 
• Create feature vectors with term frequency–inverse document Frequency (TF-IDF) and Word to Vector (Word2Vec) 
• Apply a learning algorithm, the count vectorizer, and asks for synonyms



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