Sentiment Analysis - An Assessment of Online Public Opinion: A Conceptual Review

Main Article Content

Dr. Garima Sainger

Abstract

This conceptual paper discusses sentiment analysis as a technique of research. It is a tool support decision for textual data collection and analysis available on the internet. It is also considered as a technique of data mining. It uses machine learning language to evaluate textual content. As a method of research, it is computational by nature and identify and categories opinions in the form of text. It targets a large data without any delay and hurdle and also facilitates the collection of data and its analysis. It helps domain leaders to collect real time data about emotions, opinion and attitude, without compromising, validity, reliability and generalizability. The paper also presents this as a way to divide quantitative and qualitative data through real time innovative ways of collection and analysis of data. The paper also discusses limitations one experience when applying this in their domain of research.

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How to Cite
Sainger, D. G. . (2021). Sentiment Analysis - An Assessment of Online Public Opinion: A Conceptual Review . Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(5), 1881–1887. Retrieved from https://turcomat.org/index.php/turkbilmat/article/view/2266
Section
Research Articles