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#irony or #sarcasm— a quantitative and qualitative study based on twitter.
| Content Provider | CiteSeerX |
|---|---|
| Author | Wang, Po-Ya Angela |
| Abstract | Current study is with the aim to identify similarities and distinctions between irony and sarcasm by adopting quantitative sentiment analysis as well as qualitative content analysis. The result of quantitative sentiment analysis shows that sarcastic tweets are used with more positive tweets than ironic tweets. The result of content analysis corresponds to the result of quantitative sentiment analysis in identifying the aggressiveness of sarcasm. On the other hand, from content analysis it shows that irony owns two senses. The first sense of irony is equal to aggressive sarcasm with speaker awareness. Thus, tweets of first sense of irony may attack a specific target, and the speaker may tag his/her tweet irony because the tweet itself is ironic. These tweets though tagged as irony are in fact sarcastic tweets. Different from this, the tweets of second sense of irony is tagged to classify an event to be ironic. However, from the distribution in sentiment analysis and examples in content analysis, irony seems to be more broadly used in its second sense. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Sarcasm Quantitative Qualitative Study Quantitative Sentiment Analysis Content Analysis Second Sense First Sense Fact Sarcastic Tweet Tweet Irony Specific Target Current Study Sarcastic Tweet Aggressive Sarcasm Speaker Awareness Sentiment Analysis Qualitative Content Analysis Ironic Tweet Positive Tweet |
| Content Type | Text |
