Text Mining in Big Data Analytics
Hossein Hassani,Christina Beneki,Stephan Unger,Maedeh Taj Mazinani,Mohammad Reza Yeganegi +4 more
- Vol. 4, Iss: 1, pp 1
TLDR
The state-of-the-art text mining approaches and techniques used for analyzing transcripts and speeches, meeting transcripts, and academic journal articles, as well as websites, emails, blogs, and social media platforms, are investigated.Abstract:
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data. This study seeks to determine the state of text mining research by examining the developments within published literature over past years and provide valuable insights for practitioners and researchers on the predominant trends, methods, and applications of text mining research. In accordance with this, more than 200 academic journal articles on the subject are included and discussed in this review; the state-of-the-art text mining approaches and techniques used for analyzing transcripts and speeches, meeting transcripts, and academic journal articles, as well as websites, emails, blogs, and social media platforms, across a broad range of application areas are also investigated. Additionally, the benefits and challenges related to text mining are also briefly outlined.read more
Citations
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Book ChapterDOI
What about Hate Speech
TL;DR: In echten (analogen) Leben sind wir eher selten offenen Beleidigungen oder Hass ausgesetzt.
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Stimulating innovation with an innovative curriculum: A curriculum design for a course on new product development
TL;DR: In this article, a methodology for designing a curriculum with limited prior knowledge is introduced, which can induce faculties to consider student requirements, evaluate the feasibility of teaching materials and pedagogical approaches, and develop assessments with concrete learning objectives.
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Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions
In Lee,George Mangalaraj +1 more
TL;DR: In this paper , a systematic review of existing studies in big data analytics in supply chains is presented, which examines the theoretical foundations and research models that explain the sustainability and performances achieved through the use of Big Data Analytics.
Posted Content
Validating a sentiment dictionary for German political language—a workbench note
TL;DR: In this paper, a German sentiment dictionary is presented and evaluated against human intuition in parliamentary speeches, party manifestos, and media coverage, and the validation exercises indicate that positive language is easier to detect than negative language, while the scores are numerically biased to zero.
Journal ArticleDOI
Revealing semantic and emotional structure of suicide notes with cognitive network science
TL;DR: In this paper, a network representation of suicidal ideation as expressed in multiple suicide notes is introduced, which reveals interconnections between the ideas and emotional states of people who committed suicide through an analysis of emotional balance motivated by structural balance theory, semantic prominence and emotional profiling.
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