Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform

@article{Kranjc2015ActiveLF,
  title={Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform},
  author={Janez Kranjc and Jasmina Smailovic and V. Podpecan and Miha Grcar and M. Znidarsic and N. Lavrac},
  journal={Inf. Process. Manag.},
  year={2015},
  volume={51},
  pages={187-203}
}
Abstract Sentiment analysis from data streams is aimed at detecting authors’ attitude, emotions and opinions from texts in real-time. To reduce the labeling effort needed in the data collection phase, active learning is often applied in streaming scenarios, where a learning algorithm is allowed to select new examples to be manually labeled in order to improve the learner’s performance. Even though there are many on-line platforms which perform sentiment analysis, there is no publicly available… Expand
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