Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India

Research Article

Intelligent Text Mining to Sentiment Analysis of Online Reviews

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  • @INPROCEEDINGS{10.4108/eai.16-5-2020.2303907,
        author={Paluru  Asritha and P.Prudhvi Raja Reddy and C.Pushpitha  Sudha and Neelima.N  Neelima.N},
        title={Intelligent Text Mining to Sentiment Analysis of Online Reviews},
        proceedings={Proceedings of the First  International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India},
        publisher={EAI},
        proceedings_a={ICASISET},
        year={2021},
        month={1},
        keywords={cyberbullying sentiment classifier multinomial},
        doi={10.4108/eai.16-5-2020.2303907}
    }
    
  • Paluru Asritha
    P.Prudhvi Raja Reddy
    C.Pushpitha Sudha
    Neelima.N Neelima.N
    Year: 2021
    Intelligent Text Mining to Sentiment Analysis of Online Reviews
    ICASISET
    EAI
    DOI: 10.4108/eai.16-5-2020.2303907
Paluru Asritha1,*, P.Prudhvi Raja Reddy1, C.Pushpitha Sudha2, Neelima.N Neelima.N1
  • 1: Department of Electronics and Communication Engineering Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India
  • 2: 1Department of Electronics and Communication Engineering Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India
*Contact email: paluruasritha@gmail.com

Abstract

In the prevailing days social networking sites helps people to connect easily across the world and gain knowledge and also share their interests. But, unfortunately in some cases these sites became a platform for cyber bullying. Cyber bullying is the act which causes emotional and psychological distress leading to depression, anxiety, fear and low selfesteem to the victims. Cyberbullying can be elucidated as usage of digital communication typically by sending messages to threaten, defame, harass or intimidate someone. Common social media platforms like twitter, facebook, instagram are exposed to cyberbullying which has become very common now-a-days. This can be reduced to an extent if such intimidating messages or comments are segregated. The process of classifying a sentence whether it is positive, negative or neutral is known as sentiment analysis. It helps in determining emotional tone behind a sentence. To classify these intimidating messages this paper proposes a hybrid classifier approach which classifies reviews into positive or negative. Experimental results show that the accuracy of the classifier for considered dataset is 89.36%.