P Bhattacharyya
Latest
- Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy
- Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy
- “When numbers matter!”: Detecting sarcasm in numerical portions of text
- “When numbers matter!”: Detecting sarcasm in numerical portions of text
- Recommendation chart of domains for cross-domain sentiment analysis: Findings of A 20 domain study
- Recommendation chart of domains for cross-domain sentiment analysis: Findings of A 20 domain study
- Deep models for converting sarcastic utterances into their non sarcastic interpretation
- Deep models for converting sarcastic utterances into their non sarcastic interpretation
- Automatic sarcasm detection: A survey
- Automatic sarcasm detection: A survey
- Conclusion and future work
- Conclusion and future work
- Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection
- Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection
- Introduction
- Introduction
- Investigations in computational sarcasm
- Investigations in computational sarcasm
- Sarcasm detection using contextual incongruity
- Sarcasm detection using contextual incongruity
- Sarcasm detection using incongruity within target text
- Sarcasm detection using incongruity within target text
- Sarcasm generation
- Sarcasm generation
- Sarcasm target identification: Dataset and an introductory approach
- Sarcasm target identification: Dataset and an introductory approach
- Understanding the phenomenon of sarcasm
- Understanding the phenomenon of sarcasm
- Sarcasm suite: A browser-based engine for sarcasm detection and generation
- Sarcasm suite: A browser-based engine for sarcasm detection and generation
- Are Word Embedding-based Features Useful for Sarcasm Detection?
- Are Word Embedding-based Features Useful for Sarcasm Detection?
- A Framework that Uses the Web for Named Entity Class Identification: Case Study for Indian Classical Music Forums
- A Framework that Uses the Web for Named Entity Class Identification: Case Study for Indian Classical Music Forums
- EmoGram: An open-source time sequence-based emotion tracker and its innovative applications
- EmoGram: An open-source time sequence-based emotion tracker and its innovative applications
- Harnessing sequence labeling for sarcasm detection in dialogue from TV series ‘Friends’
- Harnessing sequence labeling for sarcasm detection in dialogue from TV series ‘Friends’
- How challenging is sarcasm versus irony classification?: An analysis from human and computational perspectives
- How challenging is sarcasm versus irony classification?: An analysis from human and computational perspectives
- How do cultural differences impact the quality of sarcasm annotation?: A case study of Indian annotators and American text
- How do cultural differences impact the quality of sarcasm annotation?: A case study of Indian annotators and American text
- Political issue extraction model: A novel hierarchical topic model that uses tweets by political and non-political authors
- Political issue extraction model: A novel hierarchical topic model that uses tweets by political and non-political authors
- That'll do Fine!: A coarse lexical resource for English-Hindi MT, using polylingual topic models
- That'll do Fine!: A coarse lexical resource for English-Hindi MT, using polylingual topic models
- A computational approach to automatic prediction of drunk-texting
- A computational approach to automatic prediction of drunk-texting
- Harnessing context incongruity for sarcasm detection
- Harnessing context incongruity for sarcasm detection
- Your sentiment precedes you: Using an author's historical tweets to predict sarcasm
- Your sentiment precedes you: Using an author's historical tweets to predict sarcasm
- A cognitive study of subjectivity extraction in sentiment annotation
- A cognitive study of subjectivity extraction in sentiment annotation
- Measuring Sentiment Annotation Complexity of text
- Measuring Sentiment Annotation Complexity of text
- Making Headlines in Hindi: Automatic English to Hindi News Headline Translation
- Making Headlines in Hindi: Automatic English to Hindi News Headline Translation
- Cost and benefit of using wordnet senses for sentiment analysis
- Cost and benefit of using wordnet senses for sentiment analysis
- C-Feel-It: A sentiment analyzer for micro-blogs
- C-Feel-It: A sentiment analyzer for micro-blogs
- Harnessing WordNet senses for supervised sentiment classification
- Harnessing WordNet senses for supervised sentiment classification
- Robust Sense-Based Sentiment Classification
- Robust Sense-Based Sentiment Classification