Downloads: 119
Research Paper | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015
Dynamic Traffic Analyzer Using Twitter
Harshita Rajwani | Srushti Somvanshi | Anuja Upadhye | Rutuja Vaidya | Trupti Dange [5]
Abstract: Traffic congestion is a huge problem the world is facing nowadays. People suffer immensely in terms of money and time. In this paper, we present a system to dynamically analyze traffic and its causes, using twitter stream analysis. Twitter is a social networking site which allows people to share and read tweets. The system fetches the tweets from twitter, applies natural language processing technique on them, categorizes the tweets related to traffic, notifies the registered users about it. Natural language processing (NLP) focuses on developing efficient algorithms to process text and convert it into machine understandable language. Here, we apply NLP on the tweets to detect the traffic.
Keywords: Traffic event detection, Twitter, text mining, NLP
Edition: Volume 4 Issue 10, October 2015,
Pages: 984 - 987
Similar Articles with Keyword 'Twitter'
Downloads: 1
Student Project, Computer Science & Engineering, India, Volume 10 Issue 12, December 2021
Pages: 1357 - 1360An Opinion Mining for Indian Premier League Using Machine Learning Techniques
Rakshith N | Suraj B S | Chethana C
Downloads: 2
Research Paper, Computer Science & Engineering, India, Volume 11 Issue 3, March 2022
Pages: 1275 - 1279A Novel Technique for Authorship Verification of Hijacked Online Social Networks User Accounts
Astha Gupta [2] | Mahesh Parmar