Revealing textual polarity patterns with a browser extension

Abstract

We describe a new method to combine sentiment analysis and web augmentation into a browser-based platform enabling visualization of a web document's opinionated expressions and patterns of polarity. The Augmentator extension assists the reader recognizing keywords and paragraphs of polarity sentiment with the idea that by moving a part of the problem of text analysis from statistics and data mining into the realm of human vision and recognition, non-professionals can hopefully benefit more easily from powerful analysis and visualization tools.ye

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