Examples of NLP are Google assistant, Alexa, Siri, SPAM classifier
Stemming and Lemmantization
Stemming is process of reducing infected words to stem
Bag of words - Filter words -> create histogram -> Creating a matrix (Disadvantage is that no weight associated to words)
TF-IDF(Term Frequency & Inverse document frequency)
Stemming and Lemmantization
Stemming is process of reducing infected words to stem
Bag of words - Filter words -> create histogram -> Creating a matrix (Disadvantage is that no weight associated to words)
TF-IDF(Term Frequency & Inverse document frequency)
- TF - repetitions/#words
- IDF - log(#sentences/#sentences containing word)
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