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Sentiment Analysis Using Parallel Computing Through GPU

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  • Harshita Mandloi
  • Shraddha Masih

Abstract

Parallel Computing is becoming important in the field of computer science and is proven as a high-performance solution. Over the couple of years, GPU has gained an important place in the field of high-performance computing. Social media is expanding at present and becoming important in society. Social network sites allow users to communicate with people in the network by sharing posts, images, videos, status. The proposed system gathers the information from the social media websites and performs the sentiment analysis on the social media data using GPU. The work concentrates on recognizing the sentiment information from the text reviews and using that to identify the items. The aim of this paper is to do analytics on social media data. Analysis is done on the data using K Nearest Neighbor algorithms and Support Vector Machine algorithm on the GPU.

Suggested Citation

  • Harshita Mandloi & Shraddha Masih, 2018. "Sentiment Analysis Using Parallel Computing Through GPU," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(6), pages 428-434, July.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i6:id:hcseit183687
    Note: Article URL: https://ijsrcseit.com/CSEIT183687
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