Political Leaning Categorization by Exploring Subjectivities in Political Blogs
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Summary
This paper addresses a relatively new text categorization problem: classifying a political blog as either ‘liberal’ or ‘conservative’, based on its political leaning, with a subjectivity based approach.
- Type
- article
- Published
- 2008-01-01
- Cited by
- 20
- References
- 34
- OpenAlex
- https://openalex.org/W48578419
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18188231
Keywords
Politics, Categorization, Sociology, Political science, Media studies
References
- Passage Relevancy Through Semantic Relatedness
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- Preliminary Semantic Analysis of Political Blogs
- Making large scale SVM learning practical
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- Appraisal Extraction for News Opinion Analysis at NTCIR-6
- Efficient identification of Web communities
- Inferring Web communities from link topology
- Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
- Mining the Blogosphere: Age, gender and the varieties of self-expression
- Categorization of Blogs through Similarity Analysis
- Using appraisal groups for sentiment analysis
- Learning Extraction Patterns for Subjective Expressions
- Effects of Age and Gender on Blogging
- Exploiting Subjectivity Classification to Improve Information Extraction
- Expertise networks in online communities: structure and algorithms
- Learning Subjective Language
- Sentiment Retrieval using Generative Models
- Discovery of Blog Communities based on Mutual Awareness
Cited by
- Liberal or Conservative: Evaluation and Classification with Distribution as Ground Truth.
- An Improved Approach for Topic Ontology Based Categorization of Blogs Using Support Vector Machine
- The ACODEA framework: Developing segmentation and classification schemes for fully automatic analysis of online discussions
- Analyzing Political Rhetoric in Conservative and Liberal Weblogs Related to the Construction of the “Ground Zero Mosque”
- An analysis of perspectives in interactive settings
- Automatic prediction of gender, political affiliation, and age in Swedish politicians from the wording of their speeches - A comparative study of classifiability
- Classifying the Political Leaning of News Articles and Users from User Votes
- Modeling of Stylistic Variation in Social Media with Stretchy Patterns
- Modeling the Use of Graffiti Style Features to Signal Social Relations within a Multi-Domain Learning Paradigm
- Detecting gender bias in the coverage of politicians in Irish newspapers using automated text classification
- What demographic attributes do our digital footprints reveal? A systematic review
- SSN-NLP at CheckThat! 2024: From Feature-based Algorithms to Transformers: A Study on Detecting Subjectivity
- EDITOR'S PROOF
- Predicting Party Group from the Lithuanian Parliamentary Speeches Jurgita Kapočiūtė –
- Unsupervised Approach for Identifying Users' Political Orientations
- Using Publisher Partisanship for Partisan News Detection
- EMNLP 2011 DIALECTS2011 Proceedings of the First Workshop on Algorithms and Resources for Modelling of Dialects and Language Varieties
- Text to Ideology or Text to Party Status
- Party status as a confound in the automatic classification of political speech by ideology
- The ACODEA framework : Developing segmentation 5 and classification schemes for fully automatic analysis 6 of online discussions 7
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