Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
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Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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- Teacher spread
- 0.208 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
A word's sentiment depends on the domain in which it is used. Computational social science research thus requires sentiment lexicons that are specific to the domains being studied. We combine domain-specific word embeddings with a label propagation framework to induce accurate domain-specific sentiment lexicons using small sets of seed words. We show that our approach achieves state-of-the-art performance on inducing sentiment lexicons from domain-specific corpora and that our purely corpus-based approach outperforms methods that rely on hand-curated resources (e.g., WordNet). Using our framework, we induce and release historical sentiment lexicons for 150 years of English and community-specific sentiment lexicons for 250 online communities from the social media forum Reddit. The historical lexicons we induce show that more than 5% of sentiment-bearing (non-neutral) English words completely switched polarity during the last 150 years, and the community-specific lexicons highlight how sentiment varies drastically between different communities.
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The record
- Venue
- Topic
- Sentiment Analysis and Opinion Mining
- Field
- Computer Science
- Canadian institutions
- —
- Funders
- Army Research OfficeNational Institute of Biomedical Imaging and BioengineeringMultidisciplinary University Research InitiativeNatural Sciences and Engineering Research Council of CanadaDefense Advanced Research Projects AgencyNational Institutes of HealthNational Science Foundation
- Keywords
- WordNetComputer scienceSentiment analysisDomain (mathematical analysis)Artificial intelligenceNatural language processingSocial mediaWord (group theory)LinguisticsWorld Wide WebMathematics
- Has abstract in OpenAlex
- yes