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Harnessing Context Incongruity for Sarcasm Detection
TLDR
The relationship between context incongruity and sarcasm has been studied in linguistics. Expand
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A Fall-back Strategy for Sentiment Analysis in Hindi: a Case Study
Sentiment Analysis (SA) research has gained tremendous momentum in recent times. However, there has been little work in this area for an Indian language. We propose in this paper a fall-back strategyExpand
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Are Word Embedding-based Features Useful for Sarcasm Detection?
TLDR
This paper makes a simple increment to state-of-the-art in sarcasm detection research. Expand
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Automatic Sarcasm Detection
TLDR
We describe datasets, approaches, trends, and issues in automatic sarcasm detection, and provide pointers to future work. Expand
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How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text
TLDR
Sarcasm annotation extends beyond linguistic expertise, and often involves cultural context. Expand
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Cross-Lingual Sentiment Analysis for Indian Languages using Linked WordNets
TLDR
We present an alternative approach to CLSA using WordNet senses as features for supervised sentiment classification for Hindi and Marathi, which do not have an MT system between them. Expand
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Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm
TLDR
We present the first quantitative evidence to show that historical tweets by an author can provide additional context for sarcasm detection. Expand
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Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors
TLDR
We present a Political Issue Extraction (PIE) model that is capable of discovering political issues and positions from an unlabeled dataset of tweets. Expand
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Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series 'Friends'
TLDR
This paper is a novel study that views sarcasm detection in dialogue as a sequence labeling task, where a dialogue is made up of a sequence of utterances. Expand
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'Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection
TLDR
This paper reports a simple topic model for sarcasm detection, a first, to the best of our knowledge. Expand
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