Sentiment Analysis with Incremental Human-in-the-Loop Learning and Lexical Resource Customization

@article{Mishra2015SentimentAW,
  title={Sentiment Analysis with Incremental Human-in-the-Loop Learning and Lexical Resource Customization},
  author={Shubhanshu Mishra and Jana Diesner and Jason Byrne and Elizabeth Surbeck},
  journal={Proceedings of the 26th ACM Conference on Hypertext \& Social Media},
  year={2015}
}
The adjustment of probabilistic models for sentiment analysis to changes in language use and the perception of products can be realized via incremental learning techniques. We provide a free, open and GUI-based sentiment analysis tool that allows for a) relabeling predictions and/or adding labeled instances to retrain the weights of a given model, and b) customizing lexical resources to account for false positives and false negatives in sentiment lexicons. Our results show that incrementally… Expand
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