SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining
Explore this paper's citation graph
Summary
SENTIWORDNET is a lexical resource in which each WORDNET synset is associated to three numerical scores Obj, Pos and Neg, describing how objective, positive, and negative the terms contained in the synset are.
- Type
- article
- Published
- 2006-05-01
- Cited by
- 2,937
- References
- 23
- Access
- Open access
- OpenAlex
- https://openalex.org/W38739846
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6247656
Keywords
WordNet, Computer science, Sentiment analysis, Term (time), Information retrieval
References
- Mining WordNet for a Fuzzy Sentiment: Sentiment Tag Extraction from WordNet Glosses
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- Determining Term Subjectivity and Term Orientation for Opinion Mining
- Just How Mad Are You? Finding Strong and Weak Opinion Clauses
- Acquisition of Subjective Adjectives with Limited Resources
- Effects of Adjective Orientation and Gradability on Sentence Subjectivity
- Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences
- The general inquirer: A computer approach to content analysis.
- Using appraisal groups for sentiment analysis
- Developing Affective Lexical Resources
- Learning subjective nouns using extraction pattern bootstrapping
- Determining the Sentiment of Opinions
- A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
- Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
- Measuring praise and criticism: Inference of semantic orientation from association
- Predicting the Semantic Orientation of Adjectives
- Extracting Information. (Book Reviews: The General Inquirer. A Computer Approach to Content Analysis)
- The general inquirer: A computer approach to content analysis: Philip J. Stone, Dexter C. Dunphy, Marshall S. Smith, Daniel M. Ogilvie, with associates. The MIT Press, Cambridge, Massachusetts, 1966. 651 pp. plus xx
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- Determining the semantic orientation of terms through gloss analysis
Cited by
- A literature survey of methods for analysis of subjective language
- Automatic Annotation of Word Emotion in Sentences Based on Ren-CECps
- Sentiment Analysis Using a Novel Human Computation Game
- RACAI’s Linguistic Web Services
- A Computational Linguistic Approach towards Understanding Wikipedia's Article for Deletion (AfD) Discussions
- Unsupervised and knowledge-poor approaches to sentiment analysis
- Sentiment Analysis Using Common-Sense and Context Information
- EmotiBlog: towards a finer-grained sentiment analysis and its application to opinion mining
- SentiWordNet: A High-Coverage Lexical Resource for Opinion Mining
- Opinion Polarity Detection - Using Word Sense Disambiguation to Determine the Polarity of Opinions
- Combining Granularity-based Topic-Dependent and Topic-Independent Evidences for Opinion Detection
- Impovement of a Label Extraction Method for a Risk Search System
- ANALYZING RESPONSES TO OPEN ENDED QUESTIONS FOR SPIRIT USING ASPECT ORIENTED SENTIMENT ANALYSIS
- Sentimantics: Conceptual Spaces for Lexical Sentiment Polarity Representation with Contextuality
- Empresa 2.0: Detección de plagio y análisis de opiniones
- Reliability of Sentiment Mining Tools: A comparison of Semantria and Social Mention
- SUBJECTIVITY WORD SENSE DISAMBIGUATION: A METHOD FOR SENSE-AWARE SUBJECTIVITY ANALYSIS
- Understanding Avatar Sentiments Using Verbal and Non-Verbal Cues
- Collective Memories in Wikipedia
- Analyzing Emotion in Blog and News at Word and Sentence Level
Related papers
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- WordNet Affect: an Affective Extension of WordNet
- Predicting the Semantic Orientation of Adjectives
- Measuring praise and criticism: Inference of semantic orientation from association
- Thumbs up? Sentiment Classification using Machine Learning Techniques
- Mining and summarizing customer reviews
- Mining the peanut gallery: opinion extraction and semantic classification of product reviews
- A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
- Determining the Sentiment of Opinions