Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
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Summary
A new approach to phrase-level sentiment analysis is presented that first determines whether an expression is neutral or polar and then disambiguates the polarity of the polar expressions.
- Type
- article
- Published
- 2005-10-06
- Cited by
- 3,727
- References
- 27
- Access
- Open access
- OpenAlex
- https://openalex.org/W2022204871
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11668878
Keywords
Polarity (international relations), Phrase, Computer science, Polar, Sentiment analysis
References
- Coupling Niche Browsers and Affect Analysis for an Opinion Mining Application
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- Words with attitude
- Three Generative, Lexicalised Models for Statistical Parsing
- Lexicalized Hidden Markov Models for Part-of-Speech Tagging
- Annotating Expressions of Opinions and Emotions in Language
- BoosTexter: A Boosting-based System for Text Categorization
- A __ comprehensive grammar of the English language
- Converting Dependency Structures to Phrase Structures
- Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences
- Extracting Product Features and Opinions from Reviews
- Learning Extraction Patterns for Subjective Expressions
- Determining the Sentiment of Opinions
- Movie review mining and summarization
- A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
- Mining the peanut gallery: opinion extraction and semantic classification of product reviews
- Chinese named entity recognition using lexicalized HMMs
- Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques
- Sentiment analysis: capturing favorability using natural language processing
- Mining and summarizing customer reviews
Cited by
- A literature survey of methods for analysis of subjective language
- Using a Multimodal Sensing Approach to Characterize Human Responses to Affective and Deceptive States
- Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods
- A Computational Linguistic Approach towards Understanding Wikipedia's Article for Deletion (AfD) Discussions
- Building Tagged Linguistic Unit Databases for Sentiment Detection
- Unsupervised and knowledge-poor approaches to sentiment analysis
- Sentiment Analysis Using Common-Sense and Context Information
- Improving Implicit Discourse Relation Recognition Through Feature Set Optimization
- Discourse-level relations for opinion analysis
- An intelligent co-reference resolver for Winograd schema sentences containing resolved semantic entities
- Classification based approach for Summarizing Opinions in Blog Posts
- Combining Lexico-semantic Features for Emotion Classification in Suicide Notes
- Streaming and Sketch Algorithms for Large Data NLP
- Compositional Matrix-Space Models for Sentiment Analysis
- A survey on the role of negation in sentiment analysis
- Multi-Document Summarization of Evaluative Text
- The OpAL System at NTCIR 8 MOAT
- Combining Granularity-based Topic-Dependent and Topic-Independent Evidences for Opinion Detection
- Speech mining in noisy audio message corpus
- Political Leaning Categorization by Exploring Subjectivities in Political Blogs
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