Discovering Subjectivity Using Multi-Document Summaries

Michele Banko and Lucy Vanderwende

The ability to separate opinion from fact within text requires accurate detection of subjective language. Most work in this area has relied on some level of human supervision in the form of hand-tagging or word-list construction. Drawing from the unique nature of the multi-document summarization task, we present an unsupervised method for discovering subjectivity clues using freely available multi-document summarization corpora.

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