Slide 28
Slide 28 text
Summary
1. Problem definition & specific goal: Get Curious About Text
2. Finding Your Data
3. Preprocessing Your Data
4 Removing stopwords, Stemming, Segmentation, ...
4. Feature Extraction
4 Document-Term Matrix: tm, text2vec
4 Named Entity Recognition, POS tagging
4 Word embeddings: word2vec, GloVe
5. More Text Mining Skills
4 sentiment analysis
4 topicmodels, LDAViz: LDA
6. More Than Words - Visualizing Your Results
© leoluyi, 2018 28