Kasliwal Natural Language Processing with Python Quick Start Guide

Going from a Python developer to an effective Natural Language Processing Engineer
1. Auflage 2018
ISBN: 978-1-78899-410-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 182 Seiten

No detailed description available for "Natural Language Processing with Python Quick Start Guide".

Autoren/Hrsg.

Kasliwal, Nirant

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Table of Contents - Getting Started with Text Classification
- Tidying your Text
- Leveraging Linguistics
- Text Representations - Words to Numbers
- Modern Methods for Classification
- Deep Learning for NLP
- Building your own Chatbot
- Web Deployments

Über Autor(innen)

Kasliwal Nirant:

Nirant Kasliwal maintains an awesome list of NLP natural language processing resources. GitHub's machine learning collection features this as the go-to guide. Nobel Laureate Dr. Paul Romer found his programming notes on Jupyter Notebooks helpful. Nirant won the first ever NLP Google Kaggle Kernel Award. At Soroco, image segmentation and intent categorization are the challenges he works with. His state-of-the-art language modeling results are available as Hindi2vec.