Difference between revisions of "The viability of web-derived Polarity Lexicons"
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== Summary == | == Summary == | ||
| + | The authors examine the viability of building large polarity lexicons semi-automatically from the web. They describe a graph propagation approach to build an English lexicon without making use of language dependent resources like Wordnet, POS taggers, etc, as with previous approaches to sentiment analysis. They report a qualitative and quantitative evaluation of the derived lexicons and show superior performances to previously studied lexicons. | ||
== Dataset Description == | == Dataset Description == | ||
Revision as of 00:13, 2 October 2012
This a Paper reviewed for Social Media Analysis 10-802 in Fall 2012.
Contents
Citation
author = {Leonid Velikovich and
Sasha Blair-Goldensohn and
Kerry Hannan and
Ryan T. McDonald},
title = {The viability of web-derived polarity lexicons},
booktitle = {HLT-NAACL},
year = {2010},
pages = {777-785},
ee = {http://www.aclweb.org/anthology/N10-1119},
bibsource = {DBLP, http://dblp.uni-trier.de}
Online version
The viability of web-derived polarity lexicons
Summary
The authors examine the viability of building large polarity lexicons semi-automatically from the web. They describe a graph propagation approach to build an English lexicon without making use of language dependent resources like Wordnet, POS taggers, etc, as with previous approaches to sentiment analysis. They report a qualitative and quantitative evaluation of the derived lexicons and show superior performances to previously studied lexicons.
