Standard
Reversing the polarity with emoticons. / Teh, Phoey Lee
; Rayson, Paul Edward; Pak, Irina et al.
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/ISSN › Conference contribution/Paper › peer-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_48APA
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_48Vancouver
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). doi: 10.1007/978-3-319-41754-7_48
Author
Teh, Phoey Lee
; Rayson, Paul Edward ; Pak, Irina et al. /
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 -
