Turksent: A sentiment annotation tool for social media

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

Turksent: A sentiment annotation tool for social media

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

Department of Artificial Intelligence and Data Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop
Publisher	Association for Computational Linguistics (ACL)
Pages	131-134
Number of pages	4
ISBN (Electronic)	9781937284589
Publication status	Published - 2020
Event	7th Linguistic Annotation and Interoperability with Discourse Workshop, LAW 2013 and ID 2013 - Sofia, Bulgaria Duration: 8 Aug 2013 → 9 Aug 2013

Publication series

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

Conference

Conference	7th Linguistic Annotation and Interoperability with Discourse Workshop, LAW 2013 and ID 2013
Country/Territory	Bulgaria
City	Sofia
Period	8/08/13 → 9/08/13

Bibliographical note

Publisher Copyright:
© 2013 Association for Computational Linguistics

Cite this

Eryiǧit, G., Temel, T., Çetin, F. S., Yanık, M., & Çiçekli, I. (2020). Turksent: A sentiment annotation tool for social media. In LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop (pp. 131-134). (LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop). Association for Computational Linguistics (ACL).

Eryiǧit, Gülşen ; Temel, Tanel ; Çetin, Fatih Samet et al. / Turksent : A sentiment annotation tool for social media. LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2020. pp. 131-134 (LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop).

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title = "Turksent: A sentiment annotation tool for social media",

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.",

author = "G{\"u}l{\c s}en Eryiǧit and Tanel Temel and {\c C}etin, {Fatih Samet} and Meltem Yanık and Ilyas {\c C}i{\c c}ekli",

note = "Publisher Copyright: {\textcopyright} 2013 Association for Computational Linguistics; 7th Linguistic Annotation and Interoperability with Discourse Workshop, LAW 2013 and ID 2013 ; Conference date: 08-08-2013 Through 09-08-2013",

year = "2020",

language = "English",

series = "LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop",

publisher = "Association for Computational Linguistics (ACL)",

pages = "131--134",

booktitle = "LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop",

address = "United States",

}

Eryiǧit, G, Temel, T, Çetin, FS, Yanık, M & Çiçekli, I 2020, Turksent: A sentiment annotation tool for social media. in LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop. LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop, Association for Computational Linguistics (ACL), pp. 131-134, 7th Linguistic Annotation and Interoperability with Discourse Workshop, LAW 2013 and ID 2013, Sofia, Bulgaria, 8/08/13.

Turksent: A sentiment annotation tool for social media. / Eryiǧit, Gülşen; Temel, Tanel; Çetin, Fatih Samet et al.
LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2020. p. 131-134 (LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Çetin, Fatih Samet

AU - Yanık, Meltem

AU - Çiçekli, Ilyas

PY - 2020

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AB - 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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T3 - LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop

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

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ER -

Eryiǧit G, Temel T, Çetin FS, Yanık M, Çiçekli I. Turksent: A sentiment annotation tool for social media. In LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2020. p. 131-134. (LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop).

Turksent: A sentiment annotation tool for social media

Abstract

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Bibliographical note

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