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2022 | OriginalPaper | Buchkapitel

Text-Based Analysis of COVID-19 Comments Using Natural Language Processing

verfasst von : Kanchan Naithani, Y. P. Raiwani, Rajeshwari Sissodia

Erschienen in: Artificial Intelligence and Speech Technology

Verlag: Springer International Publishing

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Abstract

In dialectology, Natural Language Processing is the process of recognizing the various ontologies of words generated in human language. Various techniques are used for analyzing the corpus from naturally generated content by users on various platforms. The analysis of these textual contents collected during the COVID-19 has become a goldmine for marketing experts as well as for researchers, thus making social media comments available on various platforms like Facebook, Twitter, YouTube, etc., a popular area of applied artificial intelligence. Text-Based Analysis is measured as one of the exasperating responsibilities in Natural Language Processing (NLP). The chief objective of this paper is to work on a corpus that generates relevant information from web-based statements during COVID-19. The findings of the work may give useful insights to researchers working on Text analytics, and authorities concerning to current pandemic. To achieve this, NLP is discussed which extracts relevant information and comparatively computes the morphology on publicly available data thus concluding knowledge behind the corpus.

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Vorheriges Kapitel A Contrastive View of Vowel Phoneme Assessment of Hindi, Indian English and American English Speakers

Nächstes Kapitel Indian Languages Requirements for String Search/comparison on Web

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Titel: Text-Based Analysis of COVID-19 Comments Using Natural Language Processing
verfasst von: Kanchan Naithani
Y. P. Raiwani
Rajeshwari Sissodia
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Speech Technology
Print ISBN: 978-3-030-95710-0

Electronic ISBN: 978-3-030-95711-7

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-95711-7_17

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