scholarly journals Integrating Text Mining and Network Analysis for Topic Detection from Published Articles on Banana Sensory Characteristics

2020 ◽  
Author(s):  
Victoria Jideani
Keyword(s):  
Network Analysis ◽  
Text Mining ◽  
Sensory Characteristics ◽  
Topic Detection

A Data-Driven Text Mining and Semantic Network Analysis for Design Information Retrieval

2017 ◽  
Vol 139 (11) ◽  
Author(s):  
Feng Shi ◽  
Liuqing Chen ◽  
Ji Han ◽  
Peter Childs
Keyword(s):  
Information Retrieval ◽  
Network Analysis ◽  
Text Mining ◽  
Engineering Design ◽  
Large Scale ◽  
Semantic Network ◽  
Document Retrieval ◽  
Design Information ◽  
Improve Design ◽  
Correlation Degree

With the advent of the big-data era, massive information stored in electronic and digital forms on the internet become valuable resources for knowledge discovery in engineering design. Traditional document retrieval method based on document indexing focuses on retrieving individual documents related to the query, but is incapable of discovering the various associations between individual knowledge concepts. Ontology-based technologies, which can extract the inherent relationships between concepts by using advanced text mining tools, can be applied to improve design information retrieval in the large-scale unstructured textual data environment. However, few of the public available ontology database stands on a design and engineering perspective to establish the relations between knowledge concepts. This paper develops a “WordNet” focusing on design and engineering associations by integrating the text mining approaches to construct an unsupervised learning ontology network. Subsequent probability and velocity network analysis are applied with different statistical behaviors to evaluate the correlation degree between concepts for design information retrieval. The validation results show that the probability and velocity analysis on our constructed ontology network can help recognize the high related complex design and engineering associations between elements. Finally, an engineering design case study demonstrates the use of our constructed semantic network in real-world project for design relations retrieval.

scholarly journals Women and universities in El País (1977-2011): A methodological proposal for use of the ITCS for historical analysis

2019 ◽  
Vol 8 (1) ◽  
pp. 009
Author(s):  
Carlos G. Figuerola ◽  
Tamar Groves ◽  
Francisco J. Rodríguez
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Text Mining ◽  
Historical Analysis ◽  
Historical Research ◽  
Software Systems ◽  
Practical Case ◽  
Computer Tools ◽  
Analysis Techniques

The practice of historical research in recent years has been substantially affected by the emergence of the so-called digital humanities. New computer tools have been appearing, software systems capable of processing vast quantities of information in ways that until recently were inconceivable. Text mining and social network analysis techniques are sophisticated instruments that can help render a more enriching reading of the available data and draw useful conclusions. We reflect on this in the first part of this article, and then apply these tools to a practical case: quantifying and identifying the women who appear in university-related articles in the newspaper El País from its founding until 2011.

scholarly journals Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends

2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Gabriela Jurca ◽  
Omar Addam ◽  
Alper Aksac ◽  
Shang Gao ◽  
Tansel Özyer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Data Mining ◽  
Network Analysis ◽  
Text Mining ◽  
Cancer Trends

Discovery of genes associated with sulfate-reducing bacteria biofilm using text mining and biological network analysis

2021 ◽  
Author(s):  
Abhilash Kumar Tripathi ◽  
Priya Saxena ◽  
Payal Thakur ◽  
Shailabh Rauniyar ◽  
Vinoj Gopalakrishnan ◽  
...  
Keyword(s):  
Network Analysis ◽  
Text Mining ◽  
Biological Network ◽  
Sulfate Reducing Bacteria ◽  
Sulfate Reducing ◽  
Biological Network Analysis ◽  
Reducing Bacteria
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