Sentiment and Emotion Analysis of Significant Diseases in India and Russia

Title

Sentiment and Emotion Analysis of Significant Diseases in India and Russia

Creator

Goswami M.; Bandi U.S.

Description

Healthcare organizations need this information to understand and treat the patient's concerns. The motivation for this kind of analysis is how patients provide this information while wrapping it in their thoughts and emotions. It is less practicable to manually study all the free and abundant health-related knowledge accessible online to arrive at decisions that might contribute to an immediate and beneficial decision. Sentiment analysis methods perform this function through automated procedures with minimal human intervention. In this paper, an investigation is conducted to compare the region-wise, language-wise, and sentiment analysis of the tweets collected from Russia and India. The results obtained through research have shown some significant characteristics of the language models used for language detection. The inferenc and analysis obtained from the observations are included in this paper. 2023 IEEE.

Source

Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications

Date

2023-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Diseases; health care; machine learning; NLP; Sentiment Analysis

Coverage

Goswami M., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Bandi U.S., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 979-835033577-4

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/InC457730.2023.10263114

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174719166&doi=10.1109%2fInC457730.2023.10263114&partnerID=40&md5=4d910776291f5535927c99514fd7f342