scholarly journals HOLLYWOOD MOVIE DATA ANALYSIS BY SOCIAL NETWORK ANALYSIS AND TEXT MINING

2020 ◽  
Vol 11 (1) ◽  
pp. 75-92
Author(s):  
Jong-Min Kim ◽  
Xingyao Xiao ◽  
Iksuk K im
Keyword(s):  
Social Network ◽  
Data Analysis ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Text Mining ◽  
Hollywood Movie

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.

Social Network Analysis

2020 ◽  
pp. 107-117
Author(s):  
Sheik Abdullah A. ◽  
Abiramie Shree T. G. R.
Keyword(s):  
Social Network ◽  
Data Analysis ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Storage ◽  
Social Data ◽  
Cloud Data ◽  
Huge Data ◽  
Cloud Data Storage ◽  
Social Data Analysis

Each day, 2.5 quintillion bytes of data are generated due to our daily activity. It is due to the vast amount of use of the smart mobiles, Cloud data storage, and the Internet of Things. In earlier days, these technologies were utilized by large IT companies and the private sector, but now each person has a high-end smartphone along with the cloud and IoT for the easy storage of data and backup. The analysis of the data generated by social media is a tedious process and involves a lot of techniques. Some tools for social network analysis are: Gephi, Networkx, IGraph, Pajek, Node XL, and cytoscope. Apart from these tools there are various efficient social data analysis algorithms that are far more helpful in doing analytics. The need for and use of social network analysis is very helpful in our current problem of huge data generation. In this chapter, the need for the analysis of social data along with the tools that are needed for the analysis and the techniques that are to be implemented in the field of social data analysis are covered.

scholarly journals Carlos Pastore y el Instituto Histórico y Geográfico del Uruguay: redes intelectuales y homenajes en el Centenario de Artigas

2021 ◽  
pp. 353-387
Author(s):  
Matías Borba Eguren
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Text Mining ◽  
La Red

El presente trabajo analiza la participación de Carlos Pastore – intelectual y político paraguayo, exiliado en Montevideo en 1942 – en los homenajes a Artigas, realizados por el Instituto Histórico y Geográfico del Uruguay en 1950. Se busca establecer su papel como articulador entre el Instituto y otros paraguayos – en su mayoría exiliados –, aplicando técnicas del social network analysis y de text mining, para graficar la red político-historiográfica a su alrededor. Se pretende señalar cómo los homenajes a Artigas fueron una oportunidad para los exiliados paraguayos de utilizar el pasado como herramienta de militancia contra la situación política de Paraguay.

Recent Contributions of Data Mining to Language Learning Research

2019 ◽  
Vol 39 ◽  
pp. 93-112 ◽  
Author(s):  
Mark Warschauer ◽  
Soobin Yim ◽  
Hansol Lee ◽  
Binbin Zheng
Keyword(s):  
Data Mining ◽  
Second Language ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Text Mining ◽  
Language Learning ◽  
Second Language Learning ◽  
Empirical Support ◽  
Learning Research

AbstractThis paper will review the role of data mining in research on second language learning. Following a general introduction to the topic, three areas of data mining research will be summarized—clustering techniques, text-mining, and social network analysis—with examples from both the broader field and studies conducted by the authors. The application of data mining in second language learning research is relatively new, and more theoretical and empirical support is needed in the appropriate collection, use, and interpretation of data for specific research and pedagogical objectives. The three examples that we introduce illustrate how new data sources accessible in online environments can be analyzed to better understand the optimal instructional context for corpus-based vocabulary learning (clustering technique), characteristics and patterns of collaborative written interaction using Google Docs (text mining and visualizations), and issues of access and community in computer-mediated discussion (social network analysis). Implications of these new techniques for L2 research will be discussed.

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