Synthesizing user comments to prospective viral interests on new media using sentiment analysis for effective data visualization premeditated for journalism 4.0
- Title
- Synthesizing user comments to prospective viral interests on new media using sentiment analysis for effective data visualization premeditated for journalism 4.0
- Creator
- Sethurajan M.R.; Natarajan K.
- Description
- [No abstract available]
- Source
- Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications, pp. 348-373.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Subject
- Data visualization sentiment analysis; Journalism 4.0; Machine learning; Natural language processing; Parts of speech; SARS-CoV-2; Social media platforms; Twitter; Virtual reality; XGBoost
- Coverage
- Sethurajan M.R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, Karnataka, India; Natarajan K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, Karnataka, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-104004898-6; 978-103237687-5
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Sethurajan M.R.; Natarajan K., “Synthesizing user comments to prospective viral interests on new media using sentiment analysis for effective data visualization premeditated for journalism 4.0,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/17577.