ACM Transactions on Intelligent Systems and Technology (TIST): Volume 3 Issue 2, February 2012
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This article describes automatic methods and interactive visualizations that are tightly coupled with the goal to enable users to detect interesting portions of text document streams. In this scenario the interestingness is derived from the sentiment, temporal density, and context coherence that comments about features for different targets (e.g., persons, ...
visual analytics, Document time series, sentiment analysis, text mining