International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 2 March-April 2024 Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Sentiment Analysis of X(twitter) Data-a Review Study

Author(s) Arshpreet Kaur
Country India
Abstract Social networking Sites have captured the attention of the every generation. The advancement of technology and social networking sites has enabled anyone to easily express and share their ideas, opinions, feelings, expressions and reviews about any topic like- social, political, brands, business etc, with other people around the world. Thus Social media contains large amount of data in the form of text, image, audio and video uploaded by users. This data can be used as valuable information to check the reviews of people. It is also possible to diagnose every sentiment of the user by his/her text and posts on social media using emotion theories, machine learning techniques, and natural language processing techniques. This paper reviews the recent studies of sentiment analysis by social networking site X(Twitter). The steps of the methodology and related work analysis of the existing system is discussed in this review paper.
Keywords Social media,X(Twitter),Machine Learning
Field Computer
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-25
Cite This Sentiment Analysis of X(twitter) Data-a Review Study - Arshpreet Kaur - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.15636
Short DOI

Share this