Corpus-based dictionaries for sentiment analysis of specialized vocabularies

@article{Rice2019CorpusbasedDF,
  title={Corpus-based dictionaries for sentiment analysis of specialized vocabularies},
  author={Douglas Rice and Christopher Zorn},
  journal={Political Science Research and Methods},
  year={2019},
  volume={9},
  pages={20 - 35}
}
Abstract 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… Expand
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References

SHOWING 1-10 OF 81 REFERENCES
Learning Word Vectors for Sentiment Analysis
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
Building semantic kernels for text classification using wikipedia
A New ANEW: Evaluation of a Word List for Sentiment Analysis in Microblogs
Sentiment Embeddings with Applications to Sentiment Analysis
Glove: Global Vectors for Word Representation
Thumbs up? Sentiment Classification using Machine Learning Techniques
...
1
2
3
4
5
...