TURKSENT: A Sentiment Annotation Tool for Social Media

نویسندگان

  • Gülsen Eryigit
  • Fatih Samet Çetin
  • Meltem Yanik
  • Tanel Temel
  • Ilyas Çiçekli
چکیده

In this paper, we present an annotation tool developed specifically for manual sentiment analysis of social media posts. The tool provides facilities for general and target based opinion marking on different type of posts (i.e. comparative, ironic, conditional) with a web based UI which supports synchronous annotation. It is also designed as a SaaS (Software as a Service). The tool’s outstanding features are easy and fast annotation interface, detailed sentiment levels, multi-client support, easy to manage administrative modules and linguistic annotation capabilities.

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تاریخ انتشار 2013