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  • nldb-2016

    Rights statement: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-41754-7_48

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Reversing the polarity with emoticons

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Reversing the polarity with emoticons. / Teh, Phoey Lee; Rayson, Paul Edward; Pak, Irina; Piao, Scott Songlin; Yeng , Seow Mei.

Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings. ed. / Elizabeth Metais; Farid Meziane; Mohamad Saraee; Vijayan Sugumaran; Sunil Vadera. Springer, 2016. p. 453-458 (Lecture Notes in Computer Science; Vol. 9612).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Teh, PL, Rayson, PE, Pak, I, Piao, SS & Yeng , SM 2016, Reversing the polarity with emoticons. in E Metais, F Meziane, M Saraee, V Sugumaran & S Vadera (eds), Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings. Lecture Notes in Computer Science, vol. 9612, Springer, pp. 453-458, 21st International Conference on Applications of Natural Language to Information Systems, Manchester, United Kingdom, 22/06/16. https://doi.org/10.1007/978-3-319-41754-7_48

APA

Teh, P. L., Rayson, P. E., Pak, I., Piao, S. S., & Yeng , S. M. (2016). Reversing the polarity with emoticons. In E. Metais, F. Meziane, M. Saraee, V. Sugumaran, & S. Vadera (Eds.), Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings (pp. 453-458). (Lecture Notes in Computer Science; Vol. 9612). Springer. https://doi.org/10.1007/978-3-319-41754-7_48

Vancouver

Teh PL, Rayson PE, Pak I, Piao SS, Yeng SM. Reversing the polarity with emoticons. In Metais E, Meziane F, Saraee M, Sugumaran V, Vadera S, editors, Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings. Springer. 2016. p. 453-458. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-41754-7_48

Author

Teh, Phoey Lee ; Rayson, Paul Edward ; Pak, Irina ; Piao, Scott Songlin ; Yeng , Seow Mei. / Reversing the polarity with emoticons. Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings. editor / Elizabeth Metais ; Farid Meziane ; Mohamad Saraee ; Vijayan Sugumaran ; Sunil Vadera. Springer, 2016. pp. 453-458 (Lecture Notes in Computer Science).

Bibtex

@inproceedings{a948c598c4904eb6b9756ddd00249b21,
title = "Reversing the polarity with emoticons",
abstract = "Technology advancement in social media software allows users to include elements of visual communication in textual settings. Emoticons are widely used as visual representations of emotion and body expressions. However, the assignment of values to the “emoticons” in current sentiment analysis tools is still at a very early stage. This paper presents our experiments in which we study the impact of positive and negative emoticons on the classifications by fifteen different sentiment tools. The “smiley” :) and the “sad” emoticon :( and raw-text are compared to verify the degrees of sentiment polarity levels. Questionnaires were used to collect human ratings of the positive and negative values of a set of sample comments that end with these emoticons. Our results show that emoticons used in sentences are able to reverse the polarity of their true sentiment values.",
keywords = "Sentiment, Emoticon, polarity, Emotion, Social Media",
author = "Teh, {Phoey Lee} and Rayson, {Paul Edward} and Irina Pak and Piao, {Scott Songlin} and Yeng, {Seow Mei}",
note = "The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-41754-7_48; 21st International Conference on Applications of Natural Language to Information Systems, NLDB2016 ; Conference date: 22-06-2016 Through 24-06-2016",
year = "2016",
month = jun,
day = "17",
doi = "10.1007/978-3-319-41754-7_48",
language = "English",
isbn = "9783319417530",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "453--458",
editor = "Elizabeth Metais and Farid Meziane and Mohamad Saraee and Vijayan Sugumaran and Sunil Vadera",
booktitle = "Natural Language Processing and Information Systems",
url = "http://www.salford.ac.uk/conferencing-at-salford/conference-management/current-conference/nldb-conference",

}

RIS

TY - GEN

T1 - Reversing the polarity with emoticons

AU - Teh, Phoey Lee

AU - Rayson, Paul Edward

AU - Pak, Irina

AU - Piao, Scott Songlin

AU - Yeng , Seow Mei

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-41754-7_48

PY - 2016/6/17

Y1 - 2016/6/17

N2 - Technology advancement in social media software allows users to include elements of visual communication in textual settings. Emoticons are widely used as visual representations of emotion and body expressions. However, the assignment of values to the “emoticons” in current sentiment analysis tools is still at a very early stage. This paper presents our experiments in which we study the impact of positive and negative emoticons on the classifications by fifteen different sentiment tools. The “smiley” :) and the “sad” emoticon :( and raw-text are compared to verify the degrees of sentiment polarity levels. Questionnaires were used to collect human ratings of the positive and negative values of a set of sample comments that end with these emoticons. Our results show that emoticons used in sentences are able to reverse the polarity of their true sentiment values.

AB - Technology advancement in social media software allows users to include elements of visual communication in textual settings. Emoticons are widely used as visual representations of emotion and body expressions. However, the assignment of values to the “emoticons” in current sentiment analysis tools is still at a very early stage. This paper presents our experiments in which we study the impact of positive and negative emoticons on the classifications by fifteen different sentiment tools. The “smiley” :) and the “sad” emoticon :( and raw-text are compared to verify the degrees of sentiment polarity levels. Questionnaires were used to collect human ratings of the positive and negative values of a set of sample comments that end with these emoticons. Our results show that emoticons used in sentences are able to reverse the polarity of their true sentiment values.

KW - Sentiment

KW - Emoticon

KW - polarity

KW - Emotion

KW - Social Media

U2 - 10.1007/978-3-319-41754-7_48

DO - 10.1007/978-3-319-41754-7_48

M3 - Conference contribution/Paper

SN - 9783319417530

T3 - Lecture Notes in Computer Science

SP - 453

EP - 458

BT - Natural Language Processing and Information Systems

A2 - Metais, Elizabeth

A2 - Meziane, Farid

A2 - Saraee, Mohamad

A2 - Sugumaran, Vijayan

A2 - Vadera, Sunil

PB - Springer

T2 - 21st International Conference on Applications of Natural Language to Information Systems

Y2 - 22 June 2016 through 24 June 2016

ER -