Natural Language Processing and Computational Linguistics

With Natural Language Processing and Computational Linguistics, discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras. Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms. (Limited-time offer)

Table of Contents

• What is Text Analysis?
• Python Tips for Text Analysis
• spaCy’s Language Models
• Gensim – Vectorizing Text and Transformations and n-grams
• POS-Tagging and Its Applications
• NER-Tagging and Its Applications
• Dependency Parsing
• Topic Models
• Advanced Topic Modeling
• Clustering and Classifying Text
• Similarity Queries and Summarization
• Word2Vec, Doc2Vec, and Gensim
• Deep Learning for Text
• Keras and spaCy for Deep Learning
• Sentiment Analysis and ChatBots

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