Welcome to the InfoSci Platform
Improvisation of Cleaning Process on Tweets for Opinion Mining

Improvisation of Cleaning Process on Tweets for Opinion Mining

Arpita Grover, Pardeep Kumar, Kanwal Garg
Copyright: © 2022 |Pages: 10
ISBN13: 9781668463031|ISBN10: 1668463032|EISBN13: 9781668463048
DOI: 10.4018/978-1-6684-6303-1.ch047
Cite Chapter Cite Chapter

MLA

Grover, Arpita, et al. "Improvisation of Cleaning Process on Tweets for Opinion Mining." Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines, edited by Information Resources Management Association, IGI Global, 2022, pp. 892-901. https://doi.org/10.4018/978-1-6684-6303-1.ch047

APA

Grover, A., Kumar, P., & Garg, K. (2022). Improvisation of Cleaning Process on Tweets for Opinion Mining. In I. Management Association (Ed.), Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines (pp. 892-901). IGI Global. https://doi.org/10.4018/978-1-6684-6303-1.ch047

Chicago

Grover, Arpita, Pardeep Kumar, and Kanwal Garg. "Improvisation of Cleaning Process on Tweets for Opinion Mining." In Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines, edited by Information Resources Management Association, 892-901. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-6303-1.ch047

Export Reference

Mendeley
Favorite

Abstract

In the current scenario, high accessibility to computational facilities encourage generation of a large volume of electronic data. Expansion of the data has persuaded researchers towards critical analyzation so as to extract the maximum possible patterns for wiser decisiveness. Such analysis requires curtailing of text to a better structured format by pre-processing. This scrutiny focuses on implementing pre-processing in two major steps for textual data generated by dint of Twitter API. A NoSQL, document-based database named as MongoDB is used for accumulating raw data. Thereafter, cleaning followed by data transformation is executed on accumulated tweets related to Narender Modi, Honorable Prime Minister of India.