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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 3, MARCH 2017

To analyse real-time traffic conditions with the help of GPS

Anita Shinde, Rutwik Choughule, Shubham Jangam, Shweta Tarte, Shweta Kumbhar, Apoorva Shinde

DOI: 10.17148/IJARCCE.2017.6314

Abstract: The emergence of Social Media has given a platform to the public to articulate their interests and opinion. Social Media has a great impact on the public�s thoughts and opinion and the public does not hesitate to express their thoughts through Social Media. Lately, Social Media is increasingly used in Political Context. Through Social media the public have got a platform to voice their opinion about anything and everything, this also include politics. Due to the transparency of the social media, any issues raised will reach out to the whole world. Hence the participation of the citizens in government related issues will make the authorized officials accountable to look into the issues immediately. These opinions pertaining to political institutions and government are gathered from micro blogging services and social networking sites to identify the efficiency of the government. This paper discuss an approach where data collected from social media are preprocessed and classified to identify the major issues encountered by the public in their daily life. In this paper we propose a method to identify the most important government related issues from the perspective of the public.



Keywords: Social Media, Text Categorization, Text Mining, Data Pre-processing, Opinion Mining.

How to Cite:

[1] Anita Shinde, Rutwik Choughule, Shubham Jangam, Shweta Tarte, Shweta Kumbhar, Apoorva Shinde, “To analyse real-time traffic conditions with the help of GPS,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6314