Retrieving topical sentiments from online document collections

Matthew F. Hurst; Kamal Nigam

doi:10.1117/12.529422

15 December 2003 Retrieving topical sentiments from online document collections

Matthew F. Hurst, Kamal Nigam

Proceedings Volume 5296, Document Recognition and Retrieval XI; (2003) https://doi.org/10.1117/12.529422
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Retrieving document sby subject matter is the general goal of information retrieval and othe rcontent access systems. There are aspects of textual content, however, which form equally valid election critiria. One such aspect is that of sentiment or polarity - indicating the author's opinion or emotional relationship with some topic. Recent work in this are has treated polarity effectively as a discrete aspect of text. In this paper we present a lightweight but robust approach to combining topic and polarity thus enabling content access systems to select content based on a certain opinion about a certain topic.

Citation Download Citation

Matthew F. Hurst and Kamal Nigam "Retrieving topical sentiments from online document collections", Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); https://doi.org/10.1117/12.529422

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