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
Download Free PDF / Read Online
Author(s): Mike Bernico
Publisher: Packt Publishing
Published: March 2018
Format(s): Online
File size: –
Number of pages: 351
Download / View Link(s): This offer has ended.
Free as of08/22/2019 05/09/2022.
Publisher: Packt Publishing
Published: March 2018
Format(s): Online
File size: –
Number of pages: 351
Download / View Link(s): This offer has ended.
Free as of