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Sentiment Analysis of Movie using Artificial Neural Network
Devansh Nema1, Devansh Bhudolia2, Anita R3

1 Devansh Nema, Department of CSE, SRMIST, Chennai, Tamil Nadu, India. 

2Devansh Bhudolia, Department of CSE, SRMIST, Chennai, Tamil Nadu, India. 

3Anita R, Department of CSE, SRMIST, Chennai, Tamil Nadu, India. 

Manuscript received on 15 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 11 October 2019 | PP: 1212-1216 | Volume-8 Issue-11S September 2019 | Retrieval Number: K124509811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1245.09811S19

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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: Semantics is the investigation of the importance of phonetic expressions. For their need everybody is normally restless to realize other individuals’ surveys be that as it may, charitable measure of audits are accessible in every single page. We propose for computerized wistful examination of motion picture on the grounds that it’s extremely troublesome for an ordinary individual to seek in every single site to separate valuable audits and dynamic the importance out of the content. Regular Language Processing (NLP) and Text Analysis are utilized in Sentimental Analysis which recognizes the feelings in a given setting of content information. Preceding making accord on whether to watch a motion picture individuals request counsel. It would be astounding on the off chance that we had a robotized framework to give results dependent on the client’s audits. Conclusions communicated by the general population in their audits can be comprehended by utilizing a wistful examination of motion picture surveys. Thus, wistful examination assumes a urgent job in the everyday life. We propose to utilize Sentimental Classifier utilizing Artificial Neural Network (ANN) as our essence of the paper is to give data whether the motion picture is delicate or shocking

Keywords: Classification, Artificial Neural Network (ANN), Short Text, Sentiment Analysis, Reviews, Machine Learning.
Scope of the Article: Classification