Sentiment Analysis On Twitter Data Using Distributed Architecture

Karhan Z., Soysaldı Şahin M., Ozben Y. O., Kılıç E.

3rd International Conference on Computer Science and Engineering (UBMK), Sarajevo, Bosnia And Herzegovina, 20 - 23 September 2018, pp.357-360 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ubmk.2018.8566357
  • City: Sarajevo
  • Country: Bosnia And Herzegovina
  • Page Numbers: pp.357-360
  • Keywords: Sentiment analysis, Big data, Apache Spark, Distributed architecture, BIG DATA, ANALYTICS
  • Ondokuz Mayıs University Affiliated: Yes

Abstract

With the widespread use of the Internet and smart devices, the use of social media tools also increases. With increasing usage, many data stacks also bring new information gains from this data stack. In this study, the text that is written about the subject belonging to a determined hashtag on twitter, which is widely used in social media communication tools, has collected regularly at specific time intervals. The words contained in this text have been separated. Sentiment analysis based on dictionary is performed using these words. A general conclusion was reached regarding given hashtag using a real-time distributed architecture. This method allows private or government agencies to conduct a public opinion survey before doing a job.