Results 21 to 30 of about 49,686 (259)
Information, 2023 While data breaches are a frequent and universal phenomenon, the characteristics and dimensions of data breaches are unexplored. In this novel exploratory research, we apply machine learning (ML) and text analytics to a comprehensive collection of data ...
Dominik Molitor +3 more
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Text Analytics: An Application of Text Mining
Journal of Data Mining and Management, 2021 About 80% organizational data are present in the unstructured (Text) format. E-mails, social media, notes, and wide variety of different types of documents in text formats are present, but all these data are not get importance and analyzed in meaningful ways.
Nihar M. Ranjan, Rajesh S. Prasad
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A Topic Modelling Analysis of Living Labs Research
Technology Innovation Management Review, 2018 This study applies topic modelling analysis on a corpus of 86 publications in the Technology Innovation Management Review (TIM Review) to understand how the phenomenon of living labs has been approached in the recent innovation management literature ...
Mika Westerlund +2 more
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Giving Text Analytics a Boost [PDF]
IEEE Micro, 2014 The amount of textual data has reached a new scale and continues to grow at an unprecedented rate. IBM's SystemT software is a powerful text analytics system, which offers a query-based interface to reveal the valuable information that lies within these mounds of data. However, traditional server architectures are not capable of analyzing the so-called
Raphael Polig +7 more
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The NLP4NLP Corpus (II): 50 Years of Research in Speech and Language Processing
Frontiers in Research Metrics and Analytics, 2019 The NLP4NLP corpus contains articles published in 34 major conferences and journals in the field of speech and natural language processing over a period of 50 years (1965–2015), comprising 65,000 documents, gathering 50,000 authors, including 325,000 ...
Joseph Mariani +3 more
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Research of unstructured data interpretation problems
Российский технологический журнал, 2021 The term «unstructured data» means data that is unordered and arbitrary in shape. However, this type of information has a certain structure. Today there is a wide variety of data and, as a result, it is necessary to interpret them.
V. S. Tomashevskaya, D. A. Yakovlev
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Applied Sciences, 2022 Maritime collision accidents occur frequently and result in huge damages. Complex collision accidents are especially associated with worse damages. Complex maritime collision accidents involve other types of accidents barring the main accident, such as ...
Taemin Hwang, Ik-Hyun Youn
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Frontiers in Research Metrics and Analytics, 2019 This paper introduces the NLP4NLP corpus, which contains articles published in 34 major conferences and journals in the field of speech and natural language processing over a period of 50 years (1965–2015), comprising 65,000 documents, gathering 50,000 ...
Joseph Mariani +2 more
doaj +1 more source
HPTA: High-performance text analytics [PDF]
2016 IEEE International Conference on Big Data (Big Data), 2016 One of the main targets of data analytics is unstructured data, which primarily involves textual data. High-performance processing of textual data is non-trivial. We present the HPTA library for high-performance text analytics. The library helps programmers to map textual data to a dense numeric representation, which can be handled more efficiently ...
Hans Vandierendonck +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source