Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text
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Summary
This method uses semantic role labeling as an intermediate step to label an opinion holder and topic using data from FrameNet, and decomposes the task into three phases: identifying an opinion-bearing word, labeling semantic roles related to the word in the sentence, and then finding the holder and the topic of the opinion word among the labeled semantic roles.
- Type
- article
- Published
- 2006-07-22
- Cited by
- 529
- References
- 24
- Access
- Open access
- OpenAlex
- https://openalex.org/W2011450768
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8346698
Keywords
FrameNet, Computer science, Natural language processing, Sentence, Sentiment analysis
References
- Automatic Extraction of Opinion Propositions and their Holders
- Identifying Opinion Holders for Question Answering in Opinion Texts
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- Maximum Entropy Models for FrameNet Classification
- Effects of Adjective Orientation and Gradability on Sentence Subjectivity
- Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
- Discovering word senses from text
- FRAME SEMANTICS AND THE NATURE OF LANGUAGE *
- Extracting Product Features and Opinions from Reviews
- A Maximum Entropy Approach to Natural Language Processing
- Learning subjective nouns using extraction pattern bootstrapping
- Determining the semantic orientation of terms through gloss classification
- Determining the Sentiment of Opinions
- Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns
- The FrameNet Data and Software
- Development and Use of a Gold-Standard Data Set for Subjectivity Classifications
- Mining and summarizing customer reviews
- Thumbs up? Sentiment Classification using Machine Learning Techniques
- Predicting the Semantic Orientation of Adjectives
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
Cited by
- A literature survey of methods for analysis of subjective language
- Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining
- Analyse quantitative et qualitative de citations extraites d’un corpus journalistique
- Deriving the Impact of Scientifi c Publications by Mining Citation Opinion Terms
- SentiWordNet: A High-Coverage Lexical Resource for Opinion Mining
- Reranking Models in Fine-grained Opinion Analysis
- Speaker Attribution in Cabinet Protocols
- Annotating Topics of Opinions
- Aspect-oriented sentiment analysis on video game reviews in Chinese
- Semantic frames as an anchor representation for sentiment analysis
- Online News: Journalism and the Internet
- Visual document analysis: towards a semantic analysis of large document collections
- Error correction of proportions in spoken opinion surveys
- Japanese Opinion Extraction System for Japanese Newspapers Using Machine -Learning Method
- Acquisition de relations entre entités nommées à partir de corpus. (Corpus-based recognition of relations between named entities)
- Crosslingual Opinion Extraction from Author and Authority Viewpoints at NTCIR-6
- Opinion Identification in Spanish Texts
- Multilingual opinion holder and target extraction using knowledge-poor techniques
- Comparación de dos métodos para la extracción de opiniones en textos en español
- Aspect based sentiment analysis
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