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

, , , , , and . Inf. Process. Manag., 51 (2): 187-203 (2015)

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A Comparative Study of Performance Estimation Methods for Time Series Forecasting., , , and . DSAA, page 529-538. IEEE, (2017)Monitoring the Twitter sentiment during the Bulgarian elections., , , , and . DSAA, page 1-10. IEEE, (2015)Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform., , , , , and . Inf. Process. Manag., 51 (2): 187-203 (2015)Multilingual Twitter Sentiment Classification: The Role of Human Annotators., , and . CoRR, (2016)Sentiment of Emojis., , , and . CoRR, (2015)How to evaluate sentiment classifiers for Twitter time-ordered data?, , , and . CoRR, (2018)Twitter-based analysis of the dynamics of collective attention to political parties., , , , and . CoRR, (2015)Predictive Sentiment Analysis of Tweets: A Stock Market Application., , , and . CHI-KDD, volume 7947 of Lecture Notes in Computer Science, page 77-88. Springer, (2013)Stream-based active learning for sentiment analysis in the financial domain., , , and . Inf. Sci., (2014)Dynamic Parameter Adaptation of SVM Based Active Learning Methodology., , , and . AL@iKNOW, volume 1707 of CEUR Workshop Proceedings, page 17-24. CEUR-WS.org, (2016)