The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Real Time Sentiment Analysis
|
|
Author(s): Sandip Palit (Academy of Technology, Kolkata, India) and Soumadip Ghosh (Academy of Technology, Kolkata, India)
Copyright: 2020
Volume: 11
Issue: 1
Pages: 9
Source title:
International Journal of Synthetic Emotions (IJSE)
DOI: 10.4018/IJSE.2020010103
Purchase
|
Abstract
Data is the most valuable resource. We have a lot of unstructured data generated by the social media giants Twitter, Facebook, and Google. Unfortunately, analytics on unstructured data cannot be performed. As the availability of the internet became easier, people started using social media platforms as the primary medium for sharing their opinions. Every day, millions of opinions from different parts of the world are posted on Twitter. The primary goal of Twitter is to let people share their opinion with a big audience. So, if the authors can effectively analyse the tweets, valuable information can be gained. Storing these opinions in a structured manner and then using that to analyse people's reactions and perceptions about buying a product or a service is a very vital step for any corporate firm. Sentiment analysis aims to analyse and discover the sentiments behind opinions of various people on different subjects like commercial products, politics, and daily societal issues. This research has developed a model to determine the polarity of a keyword in real time.
Related Content
|
Rana Seif Fathalla, Wafa Saad Alshehri.
© 2020.
16 pages.
|
|
Adel Alti.
© 2020.
10 pages.
|
|
Sandip Palit, Soumadip Ghosh.
© 2020.
9 pages.
|
|
Amiya Bhusan Bagjadab, Sushree Bibhuprada B. Priyadarshini.
© 2020.
13 pages.
|
|
Soumadip Ghosh, Arnab Hazra, Abhishek Raj.
© 2020.
9 pages.
|
|
Rana Fathalla.
© 2020.
18 pages.
|
|
Umesh Kokate, Arviand V. Deshpande, Parikshit N. Mahalle.
© 2020.
18 pages.
|
|
|