Corpus-based dictionaries for sentiment analysis of specialized vocabularies
- Published:
- 1-Jan-19.
- Physical Description:
- 1 online resource
- Additional Creators:
- Rice, Douglas R. and Zorn, Christopher J. W., 1968-
Access Online
- pdfs.semanticscholar.org , Free-to-read
- Restrictions on Access:
- Free-to-read Unrestricted online access
- Summary:
- "Contemporary dictionary-based approaches to sentiment analysis exhibit serious validity problems when applied to specialized vocabularies, but human-coded dictionaries for such applications are often labor-intensive and inefficient to develop. We demonstrate the validity of ""minimally-supervised"" approaches for the creation of a sentiment dictionary from a corpus of text drawn from a specialized vocabulary. We demonstrate the validity of this approach in estimating sentiment from texts in a large-scale benchmarking dataset recently introduced in computational linguistics, and demonstrate the improvements in accuracy of our approach over well-known standard (nonspecialized) sentiment dictionaries. Finally, we show the usefulness of our approach in an application to the specialized language used in US federal appellate court decisions."
- Collection:
- Penn State Faculty and Staff Researcher Metadata Database Collection.
- Note:
- Academic Journal Article
- Part Of:
- Political Science Research and Methods
2049-8470
View MARC record | catkey: 31199293