Natural Language

Natural Language Processing: Python and NLTK  eBooks & eLearning

Posted by AlenMiler at Dec. 7, 2016
Natural Language Processing: Python and NLTK

Natural Language Processing: Python and NLTK by Nitin Hardeniya
English | 22 Nov. 2016 | ASIN: B01MROO3VA | ISBN-13: 9781787285101 | 687 pages | AZW3/MOBI/EPUB/PDF (conv) | 23.13 MB

Learn to build expert NLP and machine learning projects using NLTK and other Python libraries

Foundations of Statistical Natural Language Processing (repost)  eBooks & eLearning

Posted by fdts at Dec. 1, 2016
Foundations of Statistical Natural Language Processing (repost)

Foundations of Statistical Natural Language Processing
by Christopher D. Manning, Hinrich Schuetze
English | 1999 | ISBN: 0262133601 | 704 pages | PDF | 2.97 MB

Getting Started with Natural Language Processing with Python (2016)  eBooks & eLearning

Posted by naag at Nov. 16, 2016
Getting Started with Natural Language Processing with Python (2016)

Getting Started with Natural Language Processing with Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours 43M | 240 MB
Genre: eLearning | Language: English

This course is all about taking raw text data and deriving insights and value from it–processing text data using standard techniques in Natural Language Processing and Machine Learning.

Natural Language Processing: Semantic Aspects[Repost]  eBooks & eLearning

Posted by tanas.olesya at Nov. 12, 2016
Natural Language Processing: Semantic Aspects[Repost]

Natural Language Processing: Semantic Aspects by Epaminondas Kapetanios
English | 13 Nov. 2013 | ISBN: 1466584963 | 346 Pages | PDF | 17 MB

This book introduces the semantic aspects of natural language processing and its applications.

Natural Language Processing for Online Applications {Repost}  eBooks & eLearning

Posted by tanas.olesya at Oct. 10, 2016
Natural Language Processing for Online Applications {Repost}

Natural Language Processing for Online Applications: Text retrieval, extraction and categorization by Peter Jackson
English | 20 Jun. 2002 | ISBN: 1588112500 | 236 Pages | PDF | 14 MB

This text covers the emerging technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical issues.

Natural Language Processing and Computational Linguistics: Speech, Morphology and Syntax  eBooks & eLearning

Posted by Underaglassmoon at Sept. 22, 2016
Natural Language Processing and Computational Linguistics: Speech, Morphology and Syntax

Natural Language Processing and Computational Linguistics: Speech, Morphology and Syntax
Wiley ISTE | Computer Science | Nov 1 2015 | ISBN-10: 1848218486 | 296 pages | pdf | 9.19 mb

by Mohamed Zakaria Kurdi (Author)

Mastering Natural Language Processing with Python  eBooks & eLearning

Posted by ksveta6 at Sept. 19, 2016
Mastering Natural Language Processing with Python

Mastering Natural Language Processing with Python by Deepti Chopra, Nisheeth Joshi, Iti Mathur
2016 | ISBN: 1783989041 | English | 238 pages | PDF | 2 MB

Text Mining & Natural Language Understanding at Scale Training Video  eBooks & eLearning

Posted by IrGens at Sept. 16, 2016
Text Mining & Natural Language Understanding at Scale Training Video

Text Mining & Natural Language Understanding at Scale Training Video
2016-07-27 | SKU: 02392 | .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 2.25 hours | 871 MB
Instructors: David Talby, Claudiu Branzan
Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects

Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects
Wiley-ISTE | Computer Science | Jun 13 2016 | ISBN-10: 1848219040 | 192 pages | pdf | 2.99 mb

by Karën Fort (Author)

Coursera - Natural Language Processing [repost]  eBooks & eLearning

Posted by ParRus at Feb. 17, 2016
Coursera - Natural Language Processing [repost]

Coursera - Natural Language Processing
Dan Jurafsky, Professor of Linguistics - Stanford University
WEBRip | English | MP4 + PDF Slides | 960 x 540 | AVC ~57.4 kbps | 29.970 fps
AAC | 76 Kbps | 44.1 KHz | 1 channel | Subs: English (.srt) | 17:50:24 | 1.27 GB
Genre: eLearning Video / Linguistics

This course covers a broad range of topics in natural language processing, including word and sentence tokenization, text classification and sentiment analysis, spelling correction, information extraction, parsing, meaning extraction, and question answering, We will also introduce the underlying theory from probability, statistics, and machine learning that are crucial for the field, and cover fundamental algorithms like n-gram language modeling, naive bayes and maxent classifiers, sequence models like Hidden Markov Models, probabilistic dependency and constituent parsing, and vector-space models of meaning.