Natural Language Processing and Computational Linguistics
A practical guide to text analysis with Python, Gensim, spaCy, and Keras
Publisher:Packt Publishing Limited
Paid access
|Jul 2018
Table of Contents
- What is Text Analysis?
- Python Tips for Text Analysis
- spaCy
- Gensim
- POS-Tagging and its Applications
- NER-Tagging and its Applications
- Dependency Parsing
- Top Models
- Advanced Topic Modelling
- 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
PDF ISBN: 978-1-78883-703-3
Publisher: Packt Publishing Limited
Copyright owner: © 2018 Packt Publishing Limited
Publication date: 2018
Language: English
Pages: 306
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