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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Natural Language Processing (I.2.7)  
 
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  1-10 of 334 Reviews about "Natural Language Processing (I.2.7)": Date Reviewed
  Quick start guide to large language models: strategies and best practices for using ChatGPT and other LLMs
Ozdemir S., Pearson, Hoboken, NJ, 2023. 288 pp.  Type: Book (0138199191)

This book is devoted to the hot topics of large language models (LLMs) and generative artificial intelligence (AI). It can be considered as a guidebook that introduces readers to the realm of natural language processing (NLP) by exploiting open-so...

Jan 26 2024
  Sentiment analysis: mining opinions, sentiments, and emotions (2nd ed.)
Liu B., Cambridge University Press, Cambridge, UK, 2020. 448 pp.  Type: Book (978-1-108486-37-8)

Mining sentiment and opinions from human-generated reviews is certainly one of the most visible applications of natural language processing ever. It is hard to imagine a successful customer-facing business today that does not care a gr...

Oct 12 2021
  Bayesian analysis in natural language processing (2nd ed.)
Cohen S., Morgan&Claypool Publishers, San Rafael, CA, 2019. 344 pp.  Type: Book (978-1-681735-26-9)

Morgan & Claypool’s “Synthesis Lectures on Human Language Technologies” series provides grounded theory and practical approaches in an applied research sense. Bayesian analysis in natural langua...

May 28 2021
   Natural language processing with Python and spaCy: a practical introduction
Vasiliev Y., No Starch Press, San Francisco, CA, 2020. 192 pp.  Type: Book (978-1-718500-52-5)

Having had three Amazon Alexa units in my house for years, I’ve always wondered how my utterances are interpreted and understood by a machine, and how a machine talks back to me and carries out my commands without error (almo...

Mar 18 2021
  Linguistic fundamentals for natural language processing II: 100 Essentials from semantics and pragmatics
Bender E., Lascarides A., Morgan & Claypool, San Rafael, CA, 2020. 256 pp.  Type: Book (978-1-633698-70-3)

The ability of systems to process natural language is one of the most tangible results of the evolution of artificial intelligence (AI) in the last decade. Conversational interfaces--speech or text--are everywhere: in...

Feb 24 2021
  Deep learning for NLP and speech recognition
Kamath U., Liu J., Whitaker J., Springer International Publishing, New York, NY, 2019. 621 pp.  Type: Book (978-3-030145-95-8)

As has happened in other applied domains, deep learning has revolutionized natural language processing (NLP) systems, from speech recognition to neural machine translation. In 2017, Yoav Goldberg provided an easy-to-read overview of th...

Dec 22 2020
  Natural language processing with (tabled and constraint) logic programming
Christiansen H., Dahl V. In Declarative logic programming. New York, NY: Association for Computing Machinery and Morgan & Claypool, 2018.  Type: Book Chapter

Natural language processing (NLP) is a subfield of computer science, with a history of already more than 50 years. It concerns the interaction between humans and computers through natural language, and integrates specialties like speec...

Nov 24 2020
  Natural language processing for social media (3rd ed.)
Farzindar A., Inkpen D., Morgan & Claypool, San Rafael, CA, 2020. 219 pp.  Type: Book (978-1-681738-13-0)

Social media platforms are not only a place for individuals to voice their opinions, but have also become very influential in recent democratic elections and geo-politics. The importance of social media, including applications to analy...

Nov 19 2020
   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)

From the back cover:...

May 5 2020
  Automatic language identification in texts: a survey
Jauhiainen T., Lui M., Zampieri M., Baldwin T., Lindén K. Journal of Artificial Intelligence Research 65(1): 675-782, 2019.  Type: Article

One might think that automatic language identification (LI) is straightforward--surely, distinguishing English from Polish is easy. This review shows that the problem is much harder than one might expect. For example, distingu...

Mar 19 2020
 
 
 
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