๐ฏ` Raw Text โ โผ โโโโโโโโโโโโโโโโ โ Tokenization โ โ Text ko words/sentences me todoโฆ
Topic 4
๐ค Tokenization
โญ` โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ TOKENIZATION = text ko tokens meโฆ
Topic 5
๐ Stop Words Removal
๐` โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ Stop Words = common words with noโฆ
Topic 6
โ๏ธ Stemming vs Lemmatization
โจ` STEMMING (fast, rough): โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ Words koโฆ
Topic 7
๐ Text Vectorization (Words โ Numbers)
๐1. Bag of Words (BoW) ` โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ Har document =โฆ
Topic 8
๐ง NLP Tasks Overview
๐` โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ TEXT CLASSIFICATION โ โ โ Spam/Ham,โฆ