A Study on Machine Learning Techniques for Sentiment Analysis of Users in Urban Cities for Transportation Using Social Media Data

Authors

  • Prof. G. G. Sayyad  Department of Computer Engineering, S. B. Patil College of Engineering, Savitribai Phule Pune University, Maharashtra, India
  • Ms. Prachi Prakash Barbole  Department of Computer Engineering, S. B. Patil College of Engineering, Savitribai Phule Pune University, Maharashtra, India
  • Ms. Sandhya Balu Dhainje  Department of Computer Engineering, S. B. Patil College of Engineering, Savitribai Phule Pune University, Maharashtra, India
  • Mr. Gaurav Rajendra Rayate  Department of Computer Engineering, S. B. Patil College of Engineering, Savitribai Phule Pune University, Maharashtra, India
  • Mr. Rohan Shivaji Rokade  Department of Computer Engineering, S. B. Patil College of Engineering, Savitribai Phule Pune University, Maharashtra, India

Keywords:

Sentiment, Machine Learning, Analysis, Social Media, Support Vector Machine, Support Vector Regression, Decision Tree, Naive Bayes

Abstract

Nowadays, there’s increasing number of users on social media using various types of social media applications like FaceBook, Tweeter, WhatsApp, Instagram, SnapChat, and many more to be explored. These increasing numbers of user over social media account are drastically increasing the amount of data over their respective servers. This increasing data show social interaction of people over various topics.These interactions or discussions of people over social media lead to various activities that can be of good as well as bad cause; such good or bad activities can lead to traffic conjession in those respective cities and sometimes may lead to chaos or many more activities that can happen. In order to have observance or control (by traffic authorities or security personnel’s or governing bodies of city) over such activities that can be performed by discussion or interaction of people over social media that are causing conjession or peace harm in the city.These observations over such interactions or discussions over social media can help to reduce traffic conjession, chaos, peace harm reduction etc.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-10-30

Issue

Volume 9, Issue 10, September-October-2023

Section

Research Articles

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How to Cite

[1]
Prof. G. G. Sayyad, Ms. Prachi Prakash Barbole, Ms. Sandhya Balu Dhainje, Mr. Gaurav Rajendra Rayate, Mr. Rohan Shivaji Rokade, " A Study on Machine Learning Techniques for Sentiment Analysis of Users in Urban Cities for Transportation Using Social Media Data" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 10, pp.29-34, September-October-2023.