Detecting Implicit Expressions of Sentiment in Text Based on Commonsense Knowledge
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Summary
An approach towards automatically detecting emotions (as underlying components of sentiment) from contexts in which no clues of sentiment appear, based on commonsense knowledge is presented, thus improving the performance of sentiment detection and classification in text.
- Type
- article
- Published
- 2011-06-24
- Cited by
- 82
- References
- 34
- OpenAlex
- https://openalex.org/W50950926
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6275358
Keywords
Commonsense knowledge, Sentiment analysis, Computer science, Natural language processing, Artificial intelligence
References
- Cause Event Representations for Happiness and Surprise
- VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations
- The Nature of Emotions
- A structural theory of the emotions
- Applying a culture dependent emotion triggers database for text valence and emotion classification
- APA Dictionary of Psychology
- APA dictionary of psychology
- Corpus-based semantic role approach in information retrieval
- ConceptNet — A Practical Commonsense Reasoning Tool-Kit
- DICTIONARY OF PSYCHOLOGY
- Emotions and their computations: Three computer models
- Knowledge Engineering: Principles and Methods
- A model of textual affect sensing using real-world knowledge
- Learning Extraction Patterns for Subjective Expressions
- Opinion Mining and Sentiment Analysis
- Learning subjective nouns using extraction pattern bootstrapping
- Psychological aspects of natural language. use: our words, our selves.
- Determining the semantic orientation of terms through gloss classification
- What are emotions? And how can they be measured?
- Affect analysis of text using fuzzy semantic typing
Cited by
- Semantic frames as an anchor representation for sentiment analysis
- Discovering Chinese sentence patterns for feature-based opinion summarization
- A Sentiment Delivering Estimate Scheme Based on Trust Chain in Mobile Social Network
- Enhancing sentiment extraction from text by means of arguments
- Affect Detection from Social Contexts Using Commonsense Knowledge Representations
- The socialist network
- On developing robust models for favourability analysis: Model choice, feature sets and imbalanced data
- Mining affective text to improve social media item recommendation
- Fine-Grained Emotion Detection in Suicide Notes: A Thresholding Approach to Multi-Label Classification
- Measuring Sentiment Annotation Complexity of Text
- Sentiment Classification via a Response Recalibration Framework
- SemEval-2015 Task 9: CLIPEval Implicit Polarity of Events
- Ontology-Based Textual Emotion Detection
- Identifying Expressions of Emotions and Their Stimuli in Text
- Decoding social media speak: developing a speech act theory research agenda
- Emotion Detection from text: A Survey
- Appraising Computing Self-Efficacy Emotions across a 5-Week Multimedia Authoring Project
- Understanding Blog author's emotions with hierarchical Bayesian models
- News topic-typed microblog opinion sentence recognition
- Sentiment analysis of patient feedback
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