Sarcasm Detection : Achilles Heel of sentiment analysis
summary
Covers the difficulty of detecting sarcasm in social-text sentiment analysis and why conventional, handcrafted-feature approaches fail. Reviews recent NLP advances and presents an end-to-end deep learning solution aimed at building more generalizable sarcasm detectors, plus discusses limitations and future directions.
AI-written summary · about
chapters (10)
- 0:00Intro
- 1:16Importance of sarcasm detection
- 5:41Key Characteristics
- 7:39Scope and Assumptions
- 9:15Dataset
- 10:46Literature Survey
- 17:52Personality
- 21:51Our solution in nutshell
- 34:04Future work
- 37:29Learnings
related talks
37mSarcasm Detection: Achilles Heel of sentiment analysis
39mSentiment Analysis, its techniques and applications
39mThe art and science of making computers understand sentiment and emotion
43mSentiment Analysis in Action: Building Your Real-time Pipeline
39m[Keynote #2] Architectures of Ambiguity Mapping the Technical Hurdles...
59mTechnical Workshop: Sarcastically Speaking: Unlocking Multi-modal Sentiment Analysis With NLP and Facial Expressions
03mInterview with Vanessa Borobia
01h 05mSocial Text, Sentiment, and Tone Analysis
