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
Date Written: April 28, 2018
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.
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