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)
Topics included: 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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Publisher: Packt Publishing
Published: March 2018
File size: –
Number of pages: 351
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Free as of 08/22/2019.