Turksent: A sentiment annotation tool for social media

Gülşen Eryiǧit, Tanel Temel, Fatih Samet Çetin, Meltem Yanık, Ilyas Çiçekli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (SciVal)

Abstract

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.

Original languageEnglish
Title of host publicationLAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages131-134
Number of pages4
ISBN (Electronic)9781937284589
Publication statusPublished - 2020
Event7th Linguistic Annotation and Interoperability with Discourse Workshop, LAW 2013 and ID 2013 - Sofia, Bulgaria
Duration: 8 Aug 20139 Aug 2013

Publication series

NameLAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop

Conference

Conference7th Linguistic Annotation and Interoperability with Discourse Workshop, LAW 2013 and ID 2013
Country/TerritoryBulgaria
CitySofia
Period8/08/139/08/13

Bibliographical note

Publisher Copyright:
© 2013 Association for Computational Linguistics

Funding

This work is accomplished as a part of a TUBITAK-TEYDEB (The Scientific and Technological Research Council of Turkey - Technology and Innovation Funding Programs Directorate) project (grant number: 3120605) in “Turk-cell Global Bilgi” Information Technology Department. The authors want to thank Derya Dönmez and Mehmet Osmanog˘lu for design and implementation.

FundersFunder number
Scientific and Technological Research Council of Turkey - Technology and Innovation Funding Programs Directorate3120605
TUBITAK-TEYDEB

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