| title | authors | fieldsOfStudy | meta_key | numCitedBy | reading_status | ref_count | tags | urls | venue | year | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A Sentimental Education - Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts |
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2004-a-sentimental-education-sentiment-analysis-using-subjectivity-summarization-based-on-minimum-cuts |
3572 |
TBD |
29 |
|
ACL |
2004 |
Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as "thumbs up" or "thumbs down". To determine this sentiment polarity, we propose a novel machine-learning method that applies text-categorization techniques to just the subjective portions of the document. Extracting these portions can be implemented using efficient techniques for finding minimum cuts in graphs; this greatly facilitates incorporation of cross-sentence contextual constraints.
- Exploring Sentiment Summarization
- Sentiment analyzer - extracting sentiments about a given topic using natural language processing techniques
- Thumbs up? Sentiment Classification using Machine Learning Techniques
- A system for affective rating of texts
- Towards Answering Opinion Questions - Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- Mining the peanut gallery - opinion extraction and semantic classification of product reviews
- Opinion Classification Through Information Extraction
- Learning Extraction Patterns for Subjective Expressions
- Affect analysis of text using fuzzy semantic typing
- Predicting the Semantic Orientation of Adjectives
- Mining newsgroups using networks arising from social behavior
- Combining Low-Level and Summary Representations of Opinions for Multi-Perspective Question Answering
- Learning subjective nouns using extraction pattern bootstrapping
- A model of textual affect sensing using real-world knowledge
- Mining product reputations on the Web
- Learning from Labeled and Unlabeled Data using Graph Mincuts
- Tracking Point of View in Narrative
- Transductive Learning via Spectral Graph Partitioning
- Network flows - theory, algorithms and applications
- Fast approximate energy minimization via graph cuts