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1701029PublishedVol 2 · Issue 9

Sentiment Analysis Of Movie Review Using Data Analytics Techniques

Mrs. H. Swathi Mr. S. S. Aravinth V. Nivethitha T. Saranya R. Nivethanandhini

Subject area: Science,Engineering and Technology  ·  Area of research: Computer Engineering

Abstract

Social media, and then the online platforms contain a huge amount of the data in the form of tweets, blogs, and updates on the status, posts, etc. Sentiment analysis of the data is handy to express the opinion of the group or any individual. Sentiment analysis is the analysis of emotions and opinions from any type of text. And the comparison of the Times of India movie reviews and Tweets of the same movies are taken using Machine Learning Algorithms. The primary motivation was to explore disparate data sources that had not encountered before that are also often used in data science, specifically Twitter and sentiment analysis. The main goal was to gain insight on market research analysis on social media, and traditional media sources. The resulting analysis is helpful to moviegoers and the movie industry in understanding the perception of reviews.

Keywords

Data Analytics, Movie Review, Twitter, SVM

How to cite this paper

Mrs. H. Swathi, Mr. S. S. Aravinth, V. Nivethitha, T. Saranya, R. Nivethanandhini "Sentiment Analysis Of Movie Review Using Data Analytics Techniques" Iconic Research And Engineering Journals Volume 2 Issue 9 2019 Page 48-52
Mrs. H. Swathi, Mr. S. S. Aravinth, V. Nivethitha, T. Saranya, R. Nivethanandhini "Sentiment Analysis Of Movie Review Using Data Analytics Techniques" Iconic Research And Engineering Journals, vol. 2, no. 9, Mar. 2019
Mrs. H. Swathi, Mr. S. S. Aravinth, V. Nivethitha, T. Saranya, R. Nivethanandhini (2019). Sentiment Analysis Of Movie Review Using Data Analytics Techniques. Iconic Research And Engineering Journals, 2(9).
Mrs. H. Swathi, Mr. S. S. Aravinth, V. Nivethitha, T. Saranya, R. Nivethanandhini "Sentiment Analysis Of Movie Review Using Data Analytics Techniques" Iconic Research And Engineering Journals, vol. 2, no. 9, Mar. 2019.
@article{1701029,
      author = {Mrs. H. Swathi, Mr. S. S. Aravinth, V. Nivethitha, T. Saranya, R. Nivethanandhini},
      title = {Sentiment Analysis Of Movie Review Using Data Analytics Techniques},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {2},
      number = {9},
      pages = {48-52},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701029.pdf},
      abstract = {Social media, and then the online platforms contain a huge amount of the data in the form of tweets, blogs, and updates on the status, posts, etc. Sentiment analysis of the data is handy to express the opinion of the group or any individual. Sentiment analysis is the analysis of emotions and opinions from any type of text. And the comparison of the Times of India movie reviews and Tweets of the same movies are taken using Machine Learning Algorithms. The primary motivation was to explore disparate data sources that had not encountered before that are also often used in data science, specifically Twitter and sentiment analysis. The main goal was to gain insight on market research analysis on social media, and traditional media sources. The resulting analysis is helpful to moviegoers and the movie industry in understanding the perception of reviews.},
      keywords = {Data Analytics, Movie Review, Twitter, SVM},
      month = {March},
  }