Srinivasa-Desikan Natural Language Processing and Computational Linguistics

A practical guide to text analysis with Python, Gensim, spaCy, and Keras
1. Auflage 2018
ISBN: 978-1-78883-703-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 306 Seiten

No detailed description available for "Natural Language Processing and Computational Linguistics".

Autoren/Hrsg.

Srinivasa-Desikan, Bhargav

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

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

Über Autor(innen)

Srinivasa-Desikan Bhargav:

Bhargav Srinivasa-Desikan is a research engineer working for INRIA in Lille, France. He is a part of the MODAL (Models of Data Analysis and Learning) team, and he works on metric learning, predictor aggregation, and data visualization. He is a regular contributor to the Python open source community, and completed Google Summer of Code in 2016 with Gensim where he implemented Dynamic Topic Models. He is a regular speaker at PyCons and PyDatas across Europe and Asia, and conducts tutorials on text analysis using Python.