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

Yapay Zeka ve Veri Mühendisliği Bölümü

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

4 Alıntılar (SciVal)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	LAW 2013 and ID 2013 - 7th Linguistic Annotation Workshop and Interoperability with Discourse, Proceedings of the Workshop
Yayınlayan	Association for Computational Linguistics (ACL)
Sayfalar	131-134
Sayfa sayısı	4
ISBN (Elektronik)	9781937284589
Yayın durumu	Yayınlandı - 2020
Etkinlik	7th Linguistic Annotation and Interoperability with Discourse Workshop, LAW 2013 and ID 2013 - Sofia, Bulgaria Süre: 8 Ağu 2013 → 9 Ağu 2013

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	7th Linguistic Annotation and Interoperability with Discourse Workshop, LAW 2013 and ID 2013
Ülke/Bölge	Bulgaria
Şehir	Sofia
Periyot	8/08/13 → 9/08/13

Bibliyografik not

Publisher Copyright:
© 2013 Association for Computational Linguistics

Finansman

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.

Finansörler	Finansör numarası
Scientific and Technological Research Council of Turkey - Technology and Innovation Funding Programs Directorate	3120605
TUBITAK-TEYDEB

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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).

@inproceedings{0915cf01dc264d29a5897de75c76bd3a,

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).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Turksent

T2 - 7th Linguistic Annotation and Interoperability with Discourse Workshop, LAW 2013 and ID 2013

AU - Eryiǧit, Gülşen

AU - Temel, Tanel

AU - Çetin, Fatih Samet

AU - Yanık, Meltem

AU - Çiçekli, Ilyas

PY - 2020

Y1 - 2020

N2 - 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.

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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M3 - Conference contribution

AN - SCOPUS:85084339542

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

SP - 131

EP - 134

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

PB - Association for Computational Linguistics (ACL)

Y2 - 8 August 2013 through 9 August 2013

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Diğer Dosyalar ve Linkler

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