Predicting Social Emotions from Readers’ Perspective
Venkata Sai Mahesh. K1, Shubham Deepak. K2, Shiva Koushik Reddy. A3, Vijay Kumar. V4
1Vijay Kumar Vasanthamis, Assistant Professor, Department of Computer Science and Engineering, K. L. Educational foundation, Deemed University, Vaddeswaram (Andhra Pradesh), India.
2Venkata Sai Mahesh, Student, Department of Computer Science and Engineering, K. L. Educational foundation, Deemed University, Vaddeswaram (Andhra Pradesh), India.
3Shubham Deepak Kosleis, Student, Department of Computer Science and Engineering, K. L. Educational foundation, Deemed University, Vaddeswaram (Andhra Pradesh), India.
4Shiva Koushik Reddy Atmakur, Student, Department of Computer Science and Engineering, K. L. Educational foundation, Deemed University, Vaddeswaram (Andhra Pradesh), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 323-327 | Volume-8 Issue-5, June 2019 | Retrieval Number: E6954068519/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Social emotion prediction is of important to show examination and to political choice. With the free and beneficial correspondence condition of web, individuals show developing imperativeness of online correspondence. By then, the web clients like to produce and pass on online data through passing on obvious feelings than simply get online data.
Keywords: Social, Emotion, Feelings, Online, ETC.
Scope of the Article: Social Networks