TURKSENT: A sentiment annotation tool for social media

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

TURKSENT: A sentiment annotation tool for social media

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

Department of Artificial Intelligence and Data Engineering

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

13 Citations (Scopus)

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	7th Linguistic Annotation Workshop and Interoperability with Discourse - Proceedings of the Workshop
Editors	Stefanie Dipper, Maria Liakata, Maria Liakata, Antonio Pareja-Lora
Publisher	Association for Computational Linguistics (ACL)
Pages	131-134
Number of pages	4
ISBN (Print)	9781937284589
Publication status	Published - 2013
Event	7th Linguistic Annotation Workshop and Interoperability with Discourse, LAW-ID 2013 - Sofia, Bulgaria Duration: 8 Aug 2013 → 9 Aug 2013

Publication series

Name	7th Linguistic Annotation Workshop and Interoperability with Discourse - Proceedings of the Workshop

Conference

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

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.

Funders	Funder number
Scientific and Technological Research Council of Turkey - Technology and Innovation Funding Programs Directorate	3120605
TUBITAK-TEYDEB

Cite this

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

Eryiǧit, Gülşen ; Çetin, Fatih Samet ; Yanık, Meltem et al. / TURKSENT : A sentiment annotation tool for social media. 7th Linguistic Annotation Workshop and Interoperability with Discourse - Proceedings of the Workshop. editor / Stefanie Dipper ; Maria Liakata ; Maria Liakata ; Antonio Pareja-Lora. Association for Computational Linguistics (ACL), 2013. pp. 131-134 (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 {\c C}etin, {Fatih Samet} and Meltem Yanık and Tanel Temel and Ilyas {\c C}i{\c c}ekli",

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

year = "2013",

language = "English",

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

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

pages = "131--134",

editor = "Stefanie Dipper and Maria Liakata and Maria Liakata and Antonio Pareja-Lora",

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

TURKSENT: A sentiment annotation tool for social media. / Eryiǧit, Gülşen; Çetin, Fatih Samet; Yanık, Meltem et al.
7th Linguistic Annotation Workshop and Interoperability with Discourse - Proceedings of the Workshop. ed. / Stefanie Dipper; Maria Liakata; Maria Liakata; Antonio Pareja-Lora. Association for Computational Linguistics (ACL), 2013. p. 131-134 (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

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AU - Temel, Tanel

AU - Çiçekli, Ilyas

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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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AN - SCOPUS:85026301176

SN - 9781937284589

T3 - 7th Linguistic Annotation Workshop and Interoperability with Discourse - Proceedings of the Workshop

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BT - 7th Linguistic Annotation Workshop and Interoperability with Discourse - Proceedings of the Workshop

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PB - Association for Computational Linguistics (ACL)

Y2 - 8 August 2013 through 9 August 2013

ER -

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

TURKSENT: A sentiment annotation tool for social media

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