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Advances in Computational Linguistics and Text Processing Frameworks

Advances in Computational Linguistics and Text Processing Frameworks

Ayush Srivastav, Hera Khan, Amit Kumar Mishra
Copyright: © 2020 |Pages: 28
ISBN13: 9781799827726|ISBN10: 1799827720|EISBN13: 9781799827733
DOI: 10.4018/978-1-7998-2772-6.ch012
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MLA

Srivastav, Ayush, et al. "Advances in Computational Linguistics and Text Processing Frameworks." Handbook of Research on Engineering Innovations and Technology Management in Organizations, edited by Loveleen Gaur, et al., IGI Global, 2020, pp. 217-244. https://doi.org/10.4018/978-1-7998-2772-6.ch012

APA

Srivastav, A., Khan, H., & Mishra, A. K. (2020). Advances in Computational Linguistics and Text Processing Frameworks. In L. Gaur, A. Solanki, V. Jain, & D. Khazanchi (Eds.), Handbook of Research on Engineering Innovations and Technology Management in Organizations (pp. 217-244). IGI Global. https://doi.org/10.4018/978-1-7998-2772-6.ch012

Chicago

Srivastav, Ayush, Hera Khan, and Amit Kumar Mishra. "Advances in Computational Linguistics and Text Processing Frameworks." In Handbook of Research on Engineering Innovations and Technology Management in Organizations, edited by Loveleen Gaur, et al., 217-244. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2772-6.ch012

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Abstract

The chapter provides an eloquent account of the major methodologies and advances in the field of Natural Language Processing. The most popular models that have been used over time for the task of Natural Language Processing have been discussed along with their applications in their specific tasks. The chapter begins with the fundamental concepts of regex and tokenization. It provides an insight to text preprocessing and its methodologies such as Stemming and Lemmatization, Stop Word Removal, followed by Part-of-Speech tagging and Named Entity Recognition. Further, this chapter elaborates the concept of Word Embedding, its various types, and some common frameworks such as word2vec, GloVe, and fastText. A brief description of classification algorithms used in Natural Language Processing is provided next, followed by Neural Networks and its advanced forms such as Recursive Neural Networks and Seq2seq models that are used in Computational Linguistics. A brief description of chatbots and Memory Networks concludes the chapter.

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