data science tutorials and snippets prepared by tomis9
nlp (TODO)
interpreting text as a group of characters/words/sentences and so on;
tokenisation;
token normalisation (stemming, lemmatisation).
Or this is actually beginnig of a playlist.
Text mining in R - basic concepts in text mining, introduction to tidytext package and LDA
a comprehensive book - The Little Book of LDA
use cases:
word2vec, FastText, Flair, BERT
LSTM, CNN, HAN
NER, PoS (LSTM-CRF, Bi-LSTM)
R-CNN