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A Collaborative Social Networking Website Inculcating Sentiment Analysis

Author

Listed:
  • Nidhi Bipin
  • Pranika Dharmawat
  • Vidhi Ambwani
  • Shivam Sehgal

Abstract

In the recent years, social media has become ubiquitous and important for social networking and content sharing. In this paper we have made an attempt to show how Social media no longer has to be an obstacle to studying; it can help students create and manage a study community, make the best use of study time, and find new resources to help them learn and retain knowledge. As social media data has grown more abundant, data can be captured that may potentially represent behavioural patterns in society. In turn, this unstructured social media data can be parsed and integrated as a key factor for predictive intelligence. In this paper along with the framework of the social networking site, we have used certain mechanisms to undergo predictive texting and sentimental analysis using Natural Language Processing.

Suggested Citation

  • Nidhi Bipin & Pranika Dharmawat & Vidhi Ambwani & Shivam Sehgal, 2019. "A Collaborative Social Networking Website Inculcating Sentiment Analysis," 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. 5(2), pages 853-857, April.
    • Handle: RePEc:jbh:ijsrcs:v5:y2019:i2:id:hcseit1952247
    Note: Article URL: https://ijsrcseit.com/CSEIT1952247
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