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SUMMARY:Sarcasm Identification in Natural Language Processing - Sophie Dur
 rant\, Churchill College
DTSTART:20171108T190000Z
DTEND:20171108T193000Z
UID:TALK95215@talks.cam.ac.uk
CONTACT:Matthew Ireland
DESCRIPTION:Natural Language Processing (NLP) is a broad field of computer
  science which attempts to automatically extract information from natural 
 language texts.\n\nThis talk will focus on the problem of detecting the us
 e of sarcasm in social media. Sarcastic sentences are constructed to initi
 ally appear to have a particular meaning\, but the underlying intent of th
 e message is very different. This presents a challenge to traditional sent
 iment analysis\, which may fail to detect the true sentiment.\n\nIn this t
 alk\, I will introduce some general ideas in NLP\, such as the concept of 
 Part-of-speech (POS) tagging. I will then introduce the problem of sarcasm
  detection\, and present the method and results of two papers addressing t
 he issue. The first paper attempts to build a system which detects a type 
 of sentence structure hypothesised to strongly indicate sarcasm. The secon
 d paper evaluates the usefulness of particular sets of POS tags in determi
 ning sarcastic utterances. I will finally compare the approaches of both p
 apers.
LOCATION:Wolfson Hall\, Churchill College
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