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What is Text Analysis

Rhetoric and Sociolinguistics in Times of Global Crisis
The process of automatically extracting high-quality information from text or different written sources.
Published in Chapter:
General Awareness and Responses to COVID-19 Crisis: A Sentiment Analysis of Twitter Updates
Dipima Buragohain (Jilin University, China)
Copyright: © 2021 |Pages: 22
DOI: 10.4018/978-1-7998-6732-6.ch017
Abstract
The ongoing pandemic situation of COVID-19 has impacted people across nations while taking social media by storm with its massive pool of information. As social media platforms are full of horserace reporting and uncritical or even fake updates most of the time, users should respond carefully during a crisis like COVID-19 pandemic while consuming and sharing updates. The current study presents an exploratory analysis of and highlights language use in terms of users' general awareness of the crisis and their responses on social media platforms through a sentiment analysis of 805 Twitter messages related to the COVID-19 pandemic in India. The findings reported users' varied sentiments while expressing their general awareness about the crisis and its widespread outbreak. It also reported their use of cognizant verbal expressions and abusive words as an expression for dealing with panic of the crisis.
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More Results
Sentiment Analysis in Supply Chain Management
The process of deriving meaningful information from the data and ideas expressed within the document. It includes meta-information, structural information, and content information.
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A Learner Corpus Study of Attributive Clauses and Passive Voice in Student Translations
The deconstruction of information within a text, such as text structure, text pattern, linguistic features, lexical analysis, and syntactic analysis.
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Machine Learning in Text Analysis
Text analysis is used to parse the unstructured data into machine readable form.
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Semantic Document Networks to Support Concept Retrieval
the process of deriving meaningful information from the data and ideas expressed within the document. It includes meta-information, structural information, and content information.
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Social Media Analytics for Maintaining Financial Stability
This is the process of creating high-quality structured data for analysis from unstructured and heterogeneous textual data. The structured data is then analyzed to derive usable conclusions. In social media analysis, the raw text could be in the form of tweets, Facebook posts, comments on social media, hashtags, and blog posts.
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