Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Review Help
Search
Natural language processing for social media (2nd ed.)
Farzindar A., Inkpen D., Hirst G., Morgan&Claypool Publishers, San Rafael, CA, 2018. 196 pp.  Type: Book (978-1-681736-12-9)
Date Reviewed: Aug 19 2019

As social networks gain widespread popularity, they dominate all other forms of communication, particularly among youth (but of course not only). Perhaps this is because of real-time information and opinion exchange; another reason seems to be a virtual world full of friends whose attention is so easily attracted. The research community found an excellent opportunity to build a new infrastructure at the international level, hence the development of natural (unstructured) language processing (NLP) as a new subfield of language engineering integrated with artificial intelligence and computational linguistics.

This second edition focuses on the most essential research areas: the main stages of language processing; the semantic analysis of social media user utterances; and the application of this analysis to, for instance, medicine, government communication, finances, industry, politics, defense and security, disaster response, media monitoring, and predicting voting intentions. Other popular topics raised by the authors include spam detection, privacy, and democracy in social media and evaluation campaigns such as the American Text Retrieval Conference (TREC) or the European Cross-Language Evaluation Forum (CLEF), which provide benchmark datasets and develop measures of NLP task results.

Regarding language processing, readers can learn about typical technologies like text normalization, tokenization, part-of-speech (PoS) tagging, chunking, parsing the text, named entity recognition (NER), and translation tools. Semantic analysis is also a hot topic in research, as it includes geolocalization of the social media participants, sentiment analysis, event or topic detection, and automatic summarization or commonly used machine translation (MT).

The authors organized a workshop where they posed some very interesting questions to participants, which in fact motivated them to study social media. Examples of those questions include: What do people talk about on social media? How do they express themselves? How can the participants be described based on their tweets?

I thoroughly recommend this thought-provoking book to students, researchers, and industry workers.

More reviews about this item: Amazon

Reviewer:  Jolanta Mizera-Pietraszko Review #: CR146659 (1910-0358)
Bookmark and Share
  Editor Recommended
Featured Reviewer
 
 
Natural Language Processing (I.2.7 )
 
 
Algorithm Design And Analysis (G.4 ... )
 
 
Linguistics (J.5 ... )
 
 
Natural Language (H.5.2 ... )
 
 
Natural Language Interfaces (I.2.1 ... )
 
 
Retrieval Models (H.3.3 ... )
 
  more  
Would you recommend this review?
yes
no
Other reviews under "Natural Language Processing": Date
 Cross-lingual word embeddings
Søgaard A., Faruqui M., Vulić I., Ruder S.,  Morgan&Claypool Publishers, San Rafael, CA, 2019. 134 pp. Type: Book (978-1-681730-63-9)
May 5 2020
Argumentation mining
Stede M., Schneider J.,  Morgan&Claypool Publishers, San Rafael, CA, 2018. 175 pp. Type: Book (978-1-681734-59-0)
Mar 17 2020
Natural language processing (NLP) applied on issue trackers
Ellmann M.  NL4SE 2018 (Proceedings of the 4th ACM SIGSOFT International Workshop on NLP for Software Engineering, Lake Buena Vista, FL,  Nov 4, 2018) 38-41, 2018. Type: Proceedings
Feb 28 2019
more...

E-Mail This Printer-Friendly
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright © 2000-2020 ThinkLoud, Inc.
Terms of Use
| Privacy Policy