A Collaborative Social Networking Website Inculcating Sentiment Analysis

Authors

  • Nidhi Bipin  SVKM's NMIMS Mukesh Patel School of Technology Management and Engineering, Mumbai, Maharashtra, India
  • Pranika Dharmawat  SVKM's NMIMS Mukesh Patel School of Technology Management and Engineering, Mumbai, Maharashtra, India
  • Vidhi Ambwani   SVKM's NMIMS Mukesh Patel School of Technology Management and Engineering, Mumbai, Maharashtra, India
  • Shivam Sehgal  SVKM's NMIMS Mukesh Patel School of Technology Management and Engineering, Mumbai, Maharashtra, India

Keywords:

Social Networking, Sentiment Analysis, Patterns, Natural Language Processing, SNS, NMBYTES

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.

References

  1. Social Network and Sentiment Analysis on Twitter: Towards a Combined Approach Paolo Fornacciari, Monica Mordonini, Michele Tomauiolo
  2. Sentiment Analysis in Social Media Text Alexandra Balahur European Commission Joint Research Centre Vie E. Fermi 2749 21027 Ispra (VA), Italy
  3. Sentiment Analysis on Social Media International Conference on Advances in Social Networks Analysis and Mining
  4. Sentiment Analysis of Social Networking Sites (SNS) Data using Machine Learning Approach for the Measurement of Depression
  5. International Conference on ICT Convergence, At Jeju Island, Korea
  6. Social Media Data Mining For Sentiment Analysis K. C. Khatib1 T. D. Kamble2, B. R. Chendake3 G. N. Sonavane4
  7. Social Media Sentiment Analysis using Machine Learning Classifiers Bharat Naiknaware1, Bindesh Kushwaha, Seema Kawathekar
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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Nidhi Bipin, Pranika Dharmawat, Vidhi Ambwani , Shivam Sehgal, " A Collaborative Social Networking Website Inculcating Sentiment Analysis, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.853-857, March-April-2019.