University of Illinois Urbana-Champaign

Revealing textual polarity patterns with a browser extension

Tuomela, Mikko

Permalink

https://hdl.handle.net/2142/73445

Description

Title
Revealing textual polarity patterns with a browser extension
Author(s)
Tuomela, Mikko
Issue Date
2015-03-15
Keyword(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.
Publisher
iSchools
Series/Report Name or Number
iConference 2015 Proceedings
Type of Resource
text
Language
English
Permalink
http://hdl.handle.net/2142/73445
Copyright and License Information
Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

Owning Collections

iConference 2015 Preliminary Results Papers PRIMARY