Name
Title | ||
|---|---|---|
"Having 2 hours to write a paper is fun!": Detecting Sarcasm in Numerical Portions of Text. |
Abstract | ||
|---|---|---|
Sarcasm occurring due to the presence of numerical portions in text has been quoted as an error made by automatic sarcasm detection approaches in the past. We present a first study in detecting sarcasm in numbers, as in the case of the sentence u0027Love waking up at 4 amu0027. We analyze the challenges of the problem, and present Rule-based, Machine Learning and Deep Learning approaches to detect sarcasm in numerical portions of text. Our Deep Learning approach outperforms four past works for sarcasm detection and Rule-based and Machine learning approaches on a dataset of tweets, obtaining an F1-score of 0.93. This shows that special attention to text containing numbers may be useful to improve state-of-the-art in sarcasm detection. |
Year | Venue | Field |
|---|---|---|
2017 | arXiv: Computation and Language | Sarcasm,Computer science,Natural language processing,Artificial intelligence,Deep learning,Sentence |
DocType | Volume | Citations |
Journal | abs/1709.01950 | 1 |
PageRank | References | Authors |
0.34 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lakshya Kumar | 1 | 3 | 0.71 |
| Arpan Somani | 2 | 3 | 0.71 |
| Pushpak Bhattacharyya | 3 | 795 | 186.21 |