Difference between revisions of "M. Hurst and K. Nigam. Retrieving topical sentiments from online document collection."
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== Summary == | == Summary == | ||
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| + | This is one of the earlier works at combining Topicality and Polarity i.e identifying polar sentences about a topic. Here authors argue for the fusion of Topicality and Polarity by using statistical machine learning approaches to identify topics and shallow NLP techniques to determine polarity. | ||
== Dataset Description == | == Dataset Description == | ||
Revision as of 19:42, 4 November 2012
This a Paper reviewed for Social Media Analysis 10-802 in Fall 2012.
Contents
Citation
title={Retrieving topical sentiments from online document collections},
author={Hurst, M.F. and Nigam, K.},
booktitle={Proceedings of SPIE},
volume={5296},
pages={27--34},
year={2004}
Online version
Retrieving topical sentiments from online document collection
Summary
This is one of the earlier works at combining Topicality and Polarity i.e identifying polar sentences about a topic. Here authors argue for the fusion of Topicality and Polarity by using statistical machine learning approaches to identify topics and shallow NLP techniques to determine polarity.
