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Discourse structure and attitudinal valence of opinion words in sentiment extraction
2014
LSA Annual Meeting Extended Abstracts
Taboada et al. (2008) propose a word-based method for extracting sentiment from text that relies on the most relevant parts of a text. The method predicts that opinion words found in the nuclei (more important parts) of a document are more significant for the overall sentiment, whereas opinion words found in the satellites (less important parts) only potentially interfere with the overall sentiment. However, as pointed out by Taboada et al. (2008) and Narayanan et al. (2009), for certain
doi:10.3765/exabs.v0i0.2391
fatcat:t6baz2eiezaubmhllhfhz2jq6y