Sentimental Analysis based on Text and Emoticons
A.S.C.S. Sastry1, K. Veera Venkata Anudeep2, T. Namratha Sai3, T.S.N. Dheeraj4
1Dr.A.S.C.S. Sastry, Professor in the Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India
2K. Veera Venkata Anudeep, Pursuing Bachelor of Technology in Department of ECE, Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India.
3T. Namratha Sai, Pursuing Bachelor of Technology in Department of ECE, Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India
4T.S.N. Dheeraj, pursuing Bachelor of Technology in Department of ECE, Koneru Lakshmaiah Education Foundation Vaddeswaram, AP, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on May 05, 2020. | Manuscript published on May 10, 2020. | PP: 1124-1127 | Volume-9 Issue-7, May 2020. | Retrieval Number: F3677049620/2020©BEIESP | DOI: 10.35940/ijitee.F3677.059720
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© 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: Long range informal communication has bit by bit become an everyday practice for individuals to post their feelings, perspectives and remarks on any item or individual. Individuals share their sentiments online in an exceptionally casual language. Along these lines, it is exceptionally troublesome errand to break down precise slants connected with that common language. Estimation Analysis is an investigation of individuals’ mentality, assessments, and feelings to arrange whether it is certain, negative or impartial. Utilization of emojis via web-based networking media has expanded quickly as of late. Subsequently, we have concentrated more on how emojis assume a significant job in opinion examination. Different elements that influence supposition examination are talked about quickly in this paper. Likewise, different issues like mockery identification, multilingualism, taking care of abbreviations and slang language, lexical variety and dynamic word reference dealing with are talked about. A few examinations were then performed to break down the impact of emojis on tweets utilizing AI strategies. At long last, the general execution investigation of the classifier was figured utilizing the NLTK stemming system.
Keywords: Social Network, Emoticon, Sentiment, Support Vector Machine.
Scope of the Article: Social Networks