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Analysis of Human Behavior by Mining Textual Data: Current Research Topics and Analytical Techniques

Edgar Gutierrez, Waldemar Karwowski, Krzysztof Fiok, Mohammad Reza Davahli, Tameika Liciaga, Tareq Ahram
2021 Symmetry  
The goal of this study was to conduct a literature review of current approaches and techniques for identifying, understanding, and predicting human behaviors through mining a variety of sources of textual  ...  Our findings show that, despite recent advancements in predicting human behaviors based on unstructured textual data, significant developments in data analytics systems for identification, determination  ...  • RQ2: How can current analytical techniques for the prediction of human behavior from unstructured textual data be classified?  ... 
doi:10.3390/sym13071276 fatcat:hi5x22zfjfav3oorqm77rtaaaq

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science [chapter]

G. Amato, L. Candela, D. Castelli, A. Esuli, F. Falchi, C. Gennaro, F. Giannotti, A. Monreale, M. Nanni, P. Pagano, L. Pappalardo, D. Pedreschi (+7 others)
2017 Studies in Big Data  
Among all the fields that emerged in the last decades Social Network Analysis, SNA, is the one that makes use of graph mining techniques to understand human behaviors.  ...  Sentiment analysis A large proportion of the data that is generated daily, and that needs to be processed by search and mining algorithms, is of a textual, non-structured nature; these data have traditionally  ... 
doi:10.1007/978-3-319-61893-7_17 fatcat:wzk6jc6ounenrexcvmo4aw72ja

Text Mining in Big Data Analytics

Hossein Hassani, Christina Beneki, Stephan Unger, Maedeh Taj Mazinani, Mohammad Reza Yeganegi
2020 Big Data and Cognitive Computing  
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  ...  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  ...  Moreover, while one of the most beneficial values of text mining in big data analytics for businesses and governments is derived from the monitoring of human behavior and its predictive potential, the  ... 
doi:10.3390/bdcc4010001 fatcat:6fvmne7f2fbovjp4na5hl2tmv4

Data Analysis

Aristides Gionis
2013 Data Science Journal  
It has been an active area of research in the fields of information retrieval, text mining, user modeling, Web analytics, social-media analysis, and more.  ...  We group the proposed data-analysis challenges around two main themes: (1) text analytics, information retrieval, filtering, aggregation, and dissemination via social platforms and (2) mining data consortiums  ...  Mining data consortiums Traditionally, data-analysis techniques have focused on the analysis of a single type of data.  ... 
doi:10.2481/dsj.grdi-003 fatcat:6kt7i4audzcetkat6va5irskda

Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era

Ludovico Boratto, Salvatore Carta, Andreas Kaltenbrunner, Matteo Manca
2018 Information Systems Frontiers  
Acknowledgments We thank all the authors for considering this special issue as an outlet to publish their research results in the area of behavioral-data mining.  ...  Finally, we express our gratitude to the Editors-in-Chief, Professor Rao and Professor Ramesh, for their kind support, advice, and encouragements throughout the preparation of this special issue.  ...  He previously was data scientist in the Data Science and Big Data Analytics research group at Eurecat, where he mainly focused on the analysis of digital trace data and in the application of data mining  ... 
doi:10.1007/s10796-018-9884-1 fatcat:nq77tiwm4jernocaf6zgsmwtfm

Big Data Analytics and Text Mining in Internet Governance Research: Computational Analysis of Transcripts from 12 Years of the Internet Governance Forum [chapter]

2020 Researching Internet Governance  
Many researchers turned to a focus on better understanding the political and strategic implications of decisions made by infrastructure providers  ...  In chapter 3, Mueller and Badiei highlight these same trends. In some ways research on the narrower Internet governance domain of cybersecurity has eclipsed the broader study of Internet governance.  ...  Second, the chapter demonstrates the potential of big data analytics and text mining techniques in Internet governance research. research.  ... 
doi:10.7551/mitpress/12400.003.0010 fatcat:6xyqbfo2vjfwdod56bxb4gla6i

Data Mining Applications And Techniques: A Systematic Review

Fabio T. Matsunaga, Jacques D. Brancher, Rosângela M. Busto
2015 Zenodo  
Also, data mining techniques and tasks are not being used in an isolated way or individually, but also as being a module or part of a project of an expert system, by combining mathematical, computational  ...  Considering the exposed above, the aim of this paper is to present a systematic review about the data mining techniques and tasks, showing the applicability on several and multidisciplinary areas.  ...  Fabio Takeshi Matsunaga is supported by CNPq grant, process number 381241/2014-9.  ... 
doi:10.5281/zenodo.59454 fatcat:g3uzwkokrvbsfhwwqcbcagefda

Social networking data analysis tools & challenges

Androniki Sapountzi, Kostas E. Psannis
2018 Future generations computer systems  
Though, both their recent advent and the fact that science is still in the frontiers of processing human-generated data, provokes the need for an update and comprehensible taxonomy of the related research  ...  In response to this chaotic emerging science of social data, this paper provides a sophisticated classification of state-of the-art frameworks considering the diversity of practices, methods and techniques  ...  Big Data Analytics & Text Mining Content analysis studies unstructured content generated in OSNs by users.  ... 
doi:10.1016/j.future.2016.10.019 fatcat:cqlp423pv5heplujb63qo7c6yq

Text Mining for Big Data Analysis in Financial Sector: A Literature Review

Mirjana Pejić Bach, Živko Krstić, Sanja Seljan, Lejla Turulja
2019 Sustainability  
(ii) Which techniques are used in the financial sector for textual mining, especially in the era of the Internet, big data, and social media?  ...  Questions about how and to what extent research on data mining in the financial sector has developed and which tools are used for these purposes remains largely unexplored.  ...  Acknowledgments: Authors would like to acknowledge the support and advice provided by the special issue editor, as well as reviewers, which greatly improved the quality of the paper with their comments  ... 
doi:10.3390/su11051277 fatcat:cjkvyvephrf67c4donpui5o5w4

A Survey on Visual Analytics of Social Media Data

Yingcai Wu, Nan Cao, David Gotz, Yap-Peng Tan, Daniel A. Keim
2016 IEEE transactions on multimedia  
In particular, we classify existing techniques into two categories: gathering information and understanding user behaviors.  ...  This objective, however, also poses significant challenges for researchers to obtain a comprehensive picture of the area, understand research challenges, and develop new techniques.  ...  It aims to empower people to analyze and explore complex data by integrating visualization, human computer interaction, and data analysis techniques.  ... 
doi:10.1109/tmm.2016.2614220 fatcat:o4nc5eutpfhrplo4joa45dxbnq

Big Data Technology in Construction Safety Management: Application Status, Trend and Challenge

Qingfeng Meng, Qiyuan Peng, Zhen Li, Xin Hu
2022 Buildings  
This paper systematically reviews 66 articles closely related to the research topic and objectives, describes the current status of big data application to various construction safety issues from the perspectives  ...  of both big data collection and big data analysis for engineering and construction projects, and categorically lists the breakthrough results of big data analysis technology in improving construction  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their invaluable and constructive comments. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/buildings12050533 fatcat:uxsvx7gknnaw5e6x5uwcuhhqyy

CKM: A shared visual analytical tool for large-scale analysis of audio-video interviews

Lu Xiao, Yan Luo, Steven High
2013 2013 IEEE International Conference on Big Data  
We have been combining text-mining and visualization techniques to facilitate big data analysis in human rights research.  ...  Our access to human rights violation data has increased with the growing number and size of data collections.  ...  This project is funded by SSHRC Digging into Data challenge grant.  ... 
doi:10.1109/bigdata.2013.6691677 dblp:conf/bigdataconf/XiaoLH13 fatcat:tmepqmrdsravrn5bwf6bc2ktku

Advanced analytics: opportunities and challenges

Ranjit Bose
2009 Industrial management & data systems  
Design/methodology/approach -A range of recently published research literature on business intelligence (BI); predictive analytics; and data, text and web mining is reviewed to explore their current state  ...  Data, text, and web mining technologies are some of the key contributors to making advanced analytics possible.  ...  Text mining applies the same analytical functions of data mining to the domain of textual information, relying on sophisticated, text analysis techniques that distill information from free-text documents  ... 
doi:10.1108/02635570910930073 fatcat:i6emgwkcxrcrhd6bql4ndirxue

A Picture for the Words! Textual Visualization in Big Data Analytics [article]

Cherilyn Conner, Jim Samuel, Andrey Kretinin, Yana Samuel, Lee Nadeau
2020 arXiv   pre-print
Data Visualization has become an important aspect of big data analytics and has grown in sophistication and variety.  ...  the contexts of textual data and avoid distorted depictions of underlying textual data.  ...  Textual data is a rich source of information and lends itself to various forms of creative analysis, providing an opportunity for the application of big data techniques.  ... 
arXiv:2005.07849v1 fatcat:np4ser5o5zd4top7hlknjl56ra

Textual analysis and machine leaning: Crack unstructured data in finance and accounting

Li Guo, Feng Shi, Jun Tu
2016 Journal of Finance and Data Science  
Introduction Text analytic, also referred to text mining or data mining, is the process of deriving valuable information from text.  ...  Instead, we provide a deeper understanding on the algorithm of textual analysis technique by comparing their classification performance.  ... 
doi:10.1016/j.jfds.2017.02.001 fatcat:l5pi2okvnzhsfgq66xrotkbdmu
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