Revealing textual polarity patterns with a browser extension

Tuomela, Mikko

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

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.

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