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Full-Text Articles in Library and Information Science

Exploring The Characteristics Of Opinion Expressions For Political Opinion Classification, Bei Yu, Stefan Kaufmann, Daniel Diermeier May 2008

Exploring The Characteristics Of Opinion Expressions For Political Opinion Classification, Bei Yu, Stefan Kaufmann, Daniel Diermeier

School of Information Studies - Faculty Scholarship

Recently there has been increasing interest in constructing general-purpose political opinion classifiers for applications in e-Rulemaking. This problem is generally modeled as a sentiment classification task in a new domain. However, the classification accuracy is not as good as that in other domains such as customer reviews. In this paper, we report the results of a series of experiments designed to explore the characteristics of political opinion expression which might affect the sentiment classification performance. We found that the average sentiment level of Congressional debate is higher than that of neutral news articles, but lower than that of movie reviews. …


An Evaluation Of Text Classification Methods For Literary Study, Bei Yu Jan 2008

An Evaluation Of Text Classification Methods For Literary Study, Bei Yu

School of Information Studies - Faculty Scholarship

This article presents an empirical evaluation of text classification methods in literary domain. This study compared the performance of two popular algorithms, naı¨ve Bayes and support vector machines (SVMs) in two literary text classification tasks: the eroticism classification of Dickinson’s poems and the sentimentalism classification of chapters in early American novels. The algorithms were also combined with three text pre-processing tools, namely stemming, stopword removal, and statistical feature selection, to study the impact of these tools on the classifiers’ performance in the literary setting. Existing studies outside the literary domain indicated that SVMs are generally better than naı¨ve Bayes classifiers. …


Obligations And Opportunities, R David Lankes Jan 2008

Obligations And Opportunities, R David Lankes

School of Information Studies - Faculty Scholarship

A discussion of how library service should match how people build knowledge. It also discusses the obligation and power of libraries participating in their communities and society as a whole.