Python 3 Text Processing With Nltk 3 Cookbook Over 80 Practical Recipes On Natur

Over 80 Practical Recipes On Natural Language Processing Techniques Using Pythons Nltk 3.0 About This Book Break Text Down Into Its Component Parts For Spelling Correction, Feature Extraction, And Phrase Transformation Learn How To Do Custom Sentiment Analysis And Named Entity Recognition Work Through The Natural Language Processing Concepts With Simple And Easy-to-follow Programming Recipes In Detail This Book Will Show You The Essential Techniques Of Text And Language Processing. Starting With Tokenization, Stemming, And The Wordnet Dictionary, Youll Progress To Part-of-speech Tagging, Phrase Chunking, And Named Entity Recognition. Youll Learn How Various Text Corpora Are Organized, As Well As How To Create Your Own Custom Corpus.