M. Hurst and K. Nigam. Retrieving topical sentiments from online document collection.

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This a Paper reviewed for Social Media Analysis 10-802 in Fall 2012.

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.

Dataset Description

Motivation

Features Used

Task Description and Evaluation

Findings

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