Natural Language Models

Chandrasekar Vuppalapati
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Chandrasekar Vuppalapati: San Jose State University

Chapter Chapter 2 in Assessing Policy Effectiveness using AI and Language Models, 2024, pp 35-69 from Springer

Abstract: Abstract This chapter covers natural language processing (NLP) techniques such as tokenization, part-of-speech identification, stemming, lemmatization, and creation of complete NLP models. Then, the chapter explains cosine similarity to measure how similar documents are. The chapter also presents deep learning framework and bag-of-words embedding models. The chapter shows how NLP can be used for social and economic sustainability models. Lastly, the chapter helps to use NLP techniques for other language models.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-56097-2_2

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DOI: 10.1007/978-3-031-56097-2_2

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