Publication: Towards target-dependent sentiment classification in news articles
Towards target-dependent sentiment classification in news articles
Date
Date
Date
Citations
Hamborg, F., Donnay, K., & Gipp, B. (2021). Towards target-dependent sentiment classification in news articles. In K. Toeppe, H. Yan, & S. K. W. Chu (Eds.), Diversity, divergence, dialogue (pp. 156–166). Springer. https://doi.org/10.1007/978-3-030-71305-8_12
Abstract
Abstract
Abstract
Extensive research on target-dependent sentiment classification (TSC) has led to strong classification performances in domains where authors tend to explicitly express sentiment about specific entities or topics, such as in reviews or on social media. We investigate TSC in news articles, a much less researched domain, despite the importance of news as an essential information source in individual and societal decision making. This article introduces NewsTSC, a manually annotated dataset to explore TSC on news articles. Investigating c
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
- Hamborg, Felix
- Gipp, Bela
Editors
Title of Book
Title of Book
Title of Book
Place of Publication
Place of Publication
Place of Publication
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Keywords
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISBN or e-ISBN
ISBN or e-ISBN
ISBN or e-ISBN
Additional Information
Additional Information
Additional Information
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Metrics
Downloads
Views
Citations
Hamborg, F., Donnay, K., & Gipp, B. (2021). Towards target-dependent sentiment classification in news articles. In K. Toeppe, H. Yan, & S. K. W. Chu (Eds.), Diversity, divergence, dialogue (pp. 156–166). Springer. https://doi.org/10.1007/978-3-030-71305-8_12
