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Date

22. 1.2017 16:45:48

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Footnote

Weitere Rez. in: JASIST 58(2007) no.2, S.303 (D.E. Agosto): "Due to the brevity of the entries, they serve more as introductions to a wide array of theories than as deep explorations of a select few. The individual entries are not as deep as those in more traditional reference volumes, such as The Encyclopedia of Library and Information Science (Drake, 2003) or The Annual Review of Information Science and Technology (ARIST) (Cronin, 2005), but the overall coverage is much broader. This volume is probably most useful to doctoral students who are looking for theoretical frameworks for nascent research projects or to more veteran researchers interested in an introductory overview of information behavior research, as those already familiar with this subfield also will probably already be familiar with most of the theories presented here. Since different authors have penned each of the various entries, the writing styles vary somewhat, but on the whole, this is a readable, pithy volume that does an excellent job of encapsulating this important area of information research."

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Abstract

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.

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Series

Synthesis lectures on information concepts, retrieval, and services; 61