A Hybrid Approach to Predict Negative Comments on Wall using Sentiment Analysis
M. Gunasekar1, S. Amruthavarshini2, L. Hema Malini3, T. Santhi4
1M. Gunasekar, Assistant Professor, Department of Information Technology, M.Kumarasamy College of Engineering, Karur (Tamil Nadu), India
2S. Amruthavarshini, Student, Department of Information Technology, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India
3L. Hema Malini, Student, Department of Information Technology, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India
4T. Santhi, Student, Department of Information Technology, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India
Manuscript received on 28 April 2019 | Revised Manuscript received on 10 May 2019 | Manuscript Published on 17 May 2019 | PP: 566-570 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11200476S419/2019©BEIESP
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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: In modern life, the world is trending towards the Internet. Now-a-days Internet leads Human Beings. In last few years, Internet acts as the means of communication in order to share our views, ideas, Information with others. This is achieved by social networking sites. Such interchanges might include drivers sorts of substance such as text, image, audio and video data. The Security measures provided by Internet are efficient but it is limited. While Socializing one can access the profile of another which are involved in wall and one can share data such as image, text, video etc. The major issue in user wall is the inability to control the information Such as comment, tag, memes that is posted on their own wall. To address this issue, we proposed a system which controls the text contents posted on the individual’s wall. The system allows user to customize the polarity filtering criteria on the walls and text mining based is based on Short Text Classification(STC). STC is an automated classifier which label comments as positive or negative. The friends who have been posting negative comments continuously can be blocked with a real time mobile intimation to the owner of the account.
Keywords: Hybrid Sentiment Analysis Wall Internet Security Image.
Scope of the Article: Predictive Analysis