Corpus Based Twitter Sentiment Analysis

Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018

8 Pages Posted: 9 May 2018

See all articles by Riya Bhatia

Riya Bhatia

Guru Gobind Singh Indraprastha (GGSIP) University - Wireless Adhoc Network Group of Engineering and Research (WANGER)

Prachi Garg

Guru Gobind Singh Indraprastha (GGSIP) University - Wireless Adhoc Network Group of Engineering and Research (WANGER)

Rahul Johari

Guru Gobind Singh Indraprastha (GGSIP) University - Wireless Adhoc Network Group of Engineering and Research (WANGER)

Date Written: April 28, 2018

Abstract

Social media is the main advertising and analysis tool in today’s world. Twitter is a microblogging service usually used as an instant communication platform. It contains a rich amount of data in semi-structured format. The capacity to provide information in real time has stimulated many companies to use this service to understand their consumers. In this work, a method had been adopted to fetch the data in real time environment directly from twitter and sentiment analysis was performed on the streamed data. To provide scalability and reduced cost of analytics, the work was implemented using the Apache Open Source Platform, Hadoop. Further, the sentiment analysis was conducted based on the dictionary model.

Suggested Citation

Bhatia, Riya and Garg, Prachi and Johari, Rahul, Corpus Based Twitter Sentiment Analysis (April 28, 2018). Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018. Available at SSRN: https://ssrn.com/abstract=3170323 or http://dx.doi.org/10.2139/ssrn.3170323

Riya Bhatia

Guru Gobind Singh Indraprastha (GGSIP) University - Wireless Adhoc Network Group of Engineering and Research (WANGER) ( email )

Delhi
India

Prachi Garg (Contact Author)

Guru Gobind Singh Indraprastha (GGSIP) University - Wireless Adhoc Network Group of Engineering and Research (WANGER) ( email )

Delhi
India

Rahul Johari

Guru Gobind Singh Indraprastha (GGSIP) University - Wireless Adhoc Network Group of Engineering and Research (WANGER) ( email )

Delhi
India

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