Text Classification in Python (with theory) pt 1: Word Embeddings, LSTM, Learn Machine Learning

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About the Data: 0:30
Exploring data in terminal/powershell using 'more' (optional): 0:46
Opening JSON data in Python: 2:44
Binarizing output data: 4:23
Overview: 9:37
Tokenization and Stopwords: 10:11
Word Embeddings: 11:17
Cosine similarity for Documents, Words, Sentences: 12:20
Calculating similarity of documents: 13:40
About LSTM: 20:05

LSTM papers:

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Hi..
So.. are you gonna compare between Cosine Similarity and LSTM in this work???

wilmaygoldenutomo
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