Journal ArticleDOI
Automatic text analysis
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This article is published in Journal of the Association for Information Science and Technology.The article was published on 1979-03-01. It has received 49 citations till now. The article focuses on the topics: Text mining.read more
Citations
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An evaluation of retrieval effectiveness for a full-text document-retrieval system
David C. Blair,M. E. Maron +1 more
TL;DR: An evaluation of a large, operational full-text document-retrieval system shows the system to be retrieving less than 20 percent of the documents relevant to a particular search.
Journal ArticleDOI
Information retrieval on the web
Mei Kobayashi,Koichi Takeda +1 more
TL;DR: Overall trends cited by the sources are consistent and point to exponential growth in the past and in the coming decade, and the development of new techniques targeted to resolve some of the problems associated with Web-based information retrieval are discussed.
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The Value of Big Data in Digital Media Research
Merja Mahrt,Michael Scharkow +1 more
TL;DR: Qualitative aspects of Big Data analyses with regard to their applicability and usefulness in digital media research are discussed, and it is argued that researchers need to consider whether the analysis of huge quantities of data is theoretically justified.
Book
Automatic indexing and abstracting of document texts
TL;DR: This paper aims to provide a history of indexing and Abstracting techniques used in the field since the 1970s, and some of the techniques used today are still in use.
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Hungry like the wolf: A word‐pattern analysis of the language of psychopaths
TL;DR: Rayson et al. as discussed by the authors used statistical text analysis to examine the features of crime narratives provided by psychopathic homicide offenders, and found that psychopaths used more past tense and less present tense verbs in their narratives, indicating a greater psychological detachment from the incident, and their language was less emotionally intense and pleasant.
References
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A Theory of Term Importance in Automatic Text Analysis
TL;DR: Most existing automatic content analysis and indexing techniques are based on word frequency characteristics applied largely in an ad hoc manner, but terms exhibiting high occurence frequencies in individual documents are often useful for high recall performance, whereas terms with low frequency in the whole collection are useful forhigh precision.
Journal ArticleDOI
Automatic text analysis based on transition phenomena of word occurrences
TL;DR: Results seem to indicate that the automated selection of index terms from a frequency list holds some promise for automatic indexing.