Results 221 to 230 of about 79,268 (265)
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Text Summarization in Data Mining
2002Text summarizers automatically construct summaries of a natural-language document. This paper examines the use of text summarization within data mining, identifying the potential summarizers have for uncovering interesting and unexpected information.
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Semantic Text Mining with Linked Data
2009 Fifth International Joint Conference on INC, IMS and IDC, 2009Linked Data is an open data space that emerges from the publication and interlinking of structured data on the Web using the Semantic Web technologies. How to utilize this wealth of data is currently a focused research theme of the Semantic Web community.
Zhaohui Huang +5 more
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Legal Literacies for Text Data Mining
2020"Legal Literacies for Text Data Mining" outlines for digital humanities researchers and professionals some of the core skills and understandings needed to navigate law, policy, ethics, and risk in digital humanities text and data mining (TDM) projects, with reference to common DH use cases.
Stacy Reardon +2 more
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Combining Text Mining and Data Mining for Bug Report Classification
2014 IEEE International Conference on Software Maintenance and Evolution, 2014Misclassification of bug reports inevitably sacrifices the performance of bug prediction models. Manual examinations can help reduce the noise but bring a heavy burden for developers instead. In this paper, we propose a hybrid approach by combining both text mining and data mining techniques of bug report data to automate the prediction process.
Yu Zhou 0010 +3 more
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Text and data mining of in-copyright works
Communications of the ACM, 2021How copyright law might be an impediment to text and data mining research.
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2022
Weltweit werden täglich große Datenbestände erzeugt. Diese enthalten eine Vielzahl an Informationen, aus denen sich viele Zusammenhänge, d.h. idealerweise neue Erkenntnisse und damit neues Wissen, ableiten lassen. Letzteres ist dem Menschen aufgrund der schieren Menge an gespeicherten Informationen selbst nicht mehr ohne weiteres möglich, weshalb er ...
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Weltweit werden täglich große Datenbestände erzeugt. Diese enthalten eine Vielzahl an Informationen, aus denen sich viele Zusammenhänge, d.h. idealerweise neue Erkenntnisse und damit neues Wissen, ableiten lassen. Letzteres ist dem Menschen aufgrund der schieren Menge an gespeicherten Informationen selbst nicht mehr ohne weiteres möglich, weshalb er ...
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2020
<p>Structured datasets of loss data, i.e. data on the impact of past natural disasters, are of paramount importance for informing disaster preparedness programs and forecasting the impact of future disasters. Most of existing initiatives aim at manually building such datasets from information of goverments, humanitarian agencies ...
Jacopo Margutti, Marc van den Homberg
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<p>Structured datasets of loss data, i.e. data on the impact of past natural disasters, are of paramount importance for informing disaster preparedness programs and forecasting the impact of future disasters. Most of existing initiatives aim at manually building such datasets from information of goverments, humanitarian agencies ...
Jacopo Margutti, Marc van den Homberg
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Analyzing Text Data for Opinion Mining
2011Opinion mining has become a hot topic at the crossroads of information retrieval and computational linguistics. In this paper, we propose to study two key research problems of designing an opinion mining system, i.e., entity-related opinion detection problem and sentiment analysis problem.
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