Accepted author manuscript, 399 KB, PDF document
Available under license: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Sentiment analysis tools should take account of the number of exclamation marks!!!
AU - Teh, Phoey Lee
AU - Rayson, Paul Edward
AU - Pak, Irina
AU - Piao, Scott Songlin
PY - 2015/12/11
Y1 - 2015/12/11
N2 - There are various factors that affect the sentiment level expressed in textual comments. Capitalization of letters tends to mark something for attention and repeating of letters tends to strengthen the emotion. Emoticons are used to help visualize facial expressions which can affect understanding of text. In this paper, we show the effect of the number of exclamation marks used, via testing with twelve online sentiment tools. We present opinions gathered from 500 respondents towards “like” and “dislike” values, with a varying number of exclamation marks. Results show that only 20% of the online sentiment tools tested considered the number of exclamation marks in their returned scores. However, results from our human raters show that themore exclamation marks used for positive comments, the more they have higher “like” values than the same comments with fewer exclamations marks. Similarly, adding more exclamation marksfor negative comments, results in a higher “dislike”.
AB - There are various factors that affect the sentiment level expressed in textual comments. Capitalization of letters tends to mark something for attention and repeating of letters tends to strengthen the emotion. Emoticons are used to help visualize facial expressions which can affect understanding of text. In this paper, we show the effect of the number of exclamation marks used, via testing with twelve online sentiment tools. We present opinions gathered from 500 respondents towards “like” and “dislike” values, with a varying number of exclamation marks. Results show that only 20% of the online sentiment tools tested considered the number of exclamation marks in their returned scores. However, results from our human raters show that themore exclamation marks used for positive comments, the more they have higher “like” values than the same comments with fewer exclamations marks. Similarly, adding more exclamation marksfor negative comments, results in a higher “dislike”.
KW - Sentiment Analysis
KW - LANGUAGES
KW - Human factors
UR - http://www.iiwas.org/conferences/iiwas2015/home
U2 - 10.1145/2837185.2837216
DO - 10.1145/2837185.2837216
M3 - Conference contribution/Paper
SN - 9781450334914
BT - iiWAS '15 Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services
PB - ACM
CY - New York
T2 - The 17th International Conference on Information Integration and Web-based Applications & Services (iiWAS2015)
Y2 - 11 December 2015 through 13 December 2015
ER -