Article | Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania | Sentiment analysis on conversational texts Link�ping University Electronic Press Conference Proceedings
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Title:
Sentiment analysis on conversational texts
Author:
Birgitta Ojamaa: University of Tartu, Estonia Päivi Kristiina Jokinen: University of Tartu, Estonia Kadri Muischenk: University of Tartu, Estonia
Download:
Full text (pdf)
Year:
2015
Conference:
Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania
Issue:
109
Article no.:
029
Pages:
233-237
No. of pages:
5
Publication type:
Abstract and Fulltext
Published:
2015-05-06
ISBN:
978-91-7519-098-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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This paper describes ongoing work related to the analysis of spoken utterance transcripts and estimating the speaker’s attitude towards the whole dialogue on the basis of their opinions expressed by utterances. Using the standard technology used in sentiment analysis, we report promising results which can be linked to the conversational participants’ self-evaluation of their experience of the interaction.

Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Author:
Birgitta Ojamaa, Päivi Kristiina Jokinen, Kadri Muischenk
Title:
Sentiment analysis on conversational texts
References:

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Birgitta Ojamaa. 2014. Tartu Ülikooli üliõpilaste tagasiside hoiakute analüüs. Bachelor’s thesis.

Patrizia Paggio, Jens Allwood, Elisabeth Ahlsén, Kristiina Jokinen and Costanza Navarretta. 2010. The NOMCO Multimodal Nordic Resource – Goals and Characteristics. Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC’10): 2968-2973

Bo Pang and Lillian Lee. 2004. A sentimental education: Sentiment analysis using subjectivity. Procs of the Association for Computational Linguistics (ACL): 271-278.

Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. Procs of the Association for Computational Linguistics (ACL):115–124.

Ene Vainik. 2014. Kelle emotsioonile anda teksti ette lugedes hääl? Vaatlus mitmest perspektiivist. Eesti Rakenduslingvistika Ühingu aastaraamat. Vol 10 (2014): 335-351.

Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Author:
Birgitta Ojamaa, Päivi Kristiina Jokinen, Kadri Muischenk
Title:
Sentiment analysis on conversational texts
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