01-11-2016 11:01 PM - edited 01-12-2016 09:25 PM
Welcome to PAKDD 2016 contest competition. This year we would like to challenge participants with a task of designing an effective algorithm for sarcasm detection in the domain of opinion mining. Sarcasm detection is a subtask of opinion mining. It aims at correctly identifying the user opinions expressed in the written text. Sarcasm detection plays a critical role in sentiment analysis by correctly identifying sarcastic sentences which can incorrectly flip the polarity of the sentence otherwise. Understanding sarcasm, which is often a difficult task even for humans, is a challenging task for machines. Common approaches for sarcasm detection are based on machine learning classifiers trained on simple lexical or dictionary based features. To date, some research in sarcasm detection has been done on collections of tweets from Twitter, and reviews on Amazon.com. For this task, we are interested in looking at a more conversational medium—comments on Reddit—in order to develop an algorithm that can use the context of the surrounding text to help determine whether a specific comment is sarcastic or not.
The detailed description about the task and the related datasets are available at the following link.
Following are the prizes for the top two winners.
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