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Preliminary Table of Content

NLTK

Introduction to NLTK
Lemmatising and stemming words
Training a simple occurrence based tagger
Bigrams and Trigrams
Finding collocations

Scikit-Learn

Text Classification with NaiveBayes
Text Clustering
Displaying text in 2D with t-SNE
Building a POS Tagger using a SVM model
Building a NER using CRFSuite
Building a POS tagger using Pomegranate

Gensim

Building an LDA Topic model
Extracting collocations with the Phrase model
Training a Word2Vec model
Text summarisation with TextRank

spaCy

Introduction to spaCy
Visualising dependency trees
Training your NER
Adding new language support

Keras

Building a DNN for Sentiment Analysis
Building an RNN for sentiment Analysis
Building an RNN for POS Tagging
Transfer Learning using pretrained word vectors
Headline generation

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