Conceptualizing Adjectives

Staab, Steffen

doi:10.1007/3540634932_21

Cited by 1 publication

(1 citation statement)

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“…Researchers in natural language processing are attempting to determine whether these observations can be supported statistically (cf. Bouillon & Viegas, 1999; Justeson & Katz, 1991, 1995; Magnusson, 2003; Raskin & Nirenburg, 1995, 1996; Staab & Hahn, 1997). In particular, this work is facilitated by the availability of public domain part‐of‐speech taggers, software programs that automatically identify the grammatical part‐of‐speech (e.g., noun, adjective, verb, and adverb) of every word in a document.…”

Section: Adjectives and Subjectivitymentioning

confidence: 99%

Adjectives as indicators of subjectivity in documents

Rittman

Wacholder

Kantor

et al. 2004

Proc of Assoc for Info

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The goal of this research is to automatically predict human judgments of document qualities such as subjectivity, verbosity and depth. In this paper, we explore the behavior of adjectives as indicators of subjectivity in documents. Specifically, we test whether a subset of automatically derived subjective adjectives (Wiebe, 2000b), selected a priori, behaves differently than other adjectives. 3,200 documents were ranked by 100 subjects as being high or low in nine document qualities (Tang, Ng, Strzalkowski, & Kantor, 2003). We report a statistically significant correlation between the occurrence of adjectives in documents and human judgments of subjectivity. More importantly, we find that the subset of subjective adjectives is more strongly correlated with subjectivity than adjectives in general. These results can be used to identify document qualities for use in information retrieval and question‐answering systems.

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Section: Adjectives and Subjectivitymentioning

confidence: 99%