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Title:Revealing textual polarity patterns with a browser extension
Author(s):Tuomela, Mikko
Subject(s):information visualization
human-computer interaction
text/data/knowledge mining
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.
Issue Date:2015-03-15
Series/Report:iConference 2015 Proceedings
Genre:Conference Paper/Presentation
Peer Reviewed:yes
Rights Information:Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2015-03-23

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