Sciweavers

Share
ASUNAM
2015
IEEE

Parsing-based Sarcasm Sentiment Recognition in Twitter Data

3 years 4 months ago
Parsing-based Sarcasm Sentiment Recognition in Twitter Data
Abstract—Sentiment Analysis is a technique to identify people’s opinion, attitude, sentiment, and emotion towards any specific target such as individuals, events, topics, product, organizations, services etc. Sarcasm is a special kind of sentiment that comprise of words which mean the opposite of what you really want to say (especially in order to insult or wit someone, to show irritation, or to be funny). People often expressed it verbally through the use of heavy tonal stress and certain gestural clues like rolling of the eyes. These tonal and gestural clues are obviously not available for expressing sarcasm in text, making its detection reliant upon other factors. In this paper, two approaches to detect sarcasm in the text of Twitter data were proposed. The first is a parsing-based lexicon generation algorithm (PBLGA) and the second was to detect sarcasm based on the occurrence of the interjection word. The combination of two approaches is also shown and compared with the exis...
Santosh Kumar Bharti, Korra Sathya Babu, Sanjay Ku
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where ASUNAM
Authors Santosh Kumar Bharti, Korra Sathya Babu, Sanjay Kumar Jena
Comments (0)
books