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A Probabilistic Generative Model for Mining Cybercriminal Network from Online Social Media: A Review

Parvathy G., Bindhu J.S.
2016 International Journal of Computer Applications  
Text mining often referred to as text data mining can be used to derive information from text.  ...  An application of this is to scan a set of documents in natural language for predictive classification purposes.  ...  CYBER CRIMINAL NETWORK Here different generative models were discussed for text mining and all these models can be effectively used for text mining for different applications but they do not built a probabilistic  ... 
doi:10.5120/ijca2016908121 fatcat:53b4jordtnbothilf5eghnig4q

Measuring happiness of US cities by mining user-generated text in A pilot analysis

Sukjin You, Joel DesArmo, Soohyung Joo
2013 Proceedings of the American Society for Information Science and Technology  
This poster describes a methodology to numerically represent the happiness of a city by mining user generated terms in  ...  As a pilot analysis, we collected 15,000 text records consisting of titles, tags, descriptions, and comments for the thirty most populous cities in the United States.  ...  In this way, social media mining has become a popular method to predict future outcomes or to gain a better understanding of the relationships that exists in various social phenomena.  ... 
doi:10.1002/meet.14505001167 fatcat:2w7mj5jc75f6zh4asbf37ikujy

Web Mining System in a Natural Language Processing Based for Social Media Analysis

Gadamsetty Vasavi, T. Sudha
2019 Asian Journal of Computer Science and Technology  
This paper discusses a web mining system that is based on Natural Language Processing to analyze social media information.  ...  Social Media Monitoring and Analysis are the new trends in technology business. The challenge is to extract correct information from free-form texts of social media communication.  ...  Certain sophisticated text mining methods are used in some systems to fulfill the need for accurate social media monitoring.  ... 
doi:10.51983/ajcst-2019.8.s3.2083 fatcat:fvhphhejhjaeffew37xpamu7lm

Text mining as a method of analyzing health questions in social QA

Sanghee Oh, Min Sook Park
2013 Proceedings of the American Society for Information Science and Technology  
Answers and used for text mining and analysis in this study. A preliminary finding of the data analysis is described in this poster.  ...  The use of text mining as a method of analyzing STD questions is discussed, as well.  ...  There are, however, limitations when using text mining as the sole method for understanding what people discuss in social Q&A.  ... 
doi:10.1002/meet.14505001130 fatcat:haxreslznzaefgnkvpvvasfnmm

A Text Mining Approach to Extract Opinions from Unstructured Text

Ananthi Sheshasaayee, R. Jayanthi
2015 Indian Journal of Science and Technology  
Background/Objectives: To extract and interpret public opinion from informal description of text in social media websites.  ...  Methods: The informal descriptions containing opinions are Tokenized, Parts of Speech Tagging, Word-sense Disambiguation and Text Transformation/Attribute Generation are employed.  ...  social media data analysis.  ... 
doi:10.17485/ijst/2015/v8i36/88609 fatcat:6q2grqrl2vbpdpxzoww5mskk5q

Latent Text Mining for Cybercrime Forensics

Raymond Y. K. Lau, Yunqing Xia
2013 International Journal of Future Computer and Communication  
Accordingly, it presents unprecedented opportunities for security intelligence experts to tap into online social media to extract the vital security intelligence for cyber-attack forensics.  ...  There are increasing more evidences showing that cybercriminals tend to exchange cybercrime knowledge and transact via online social media.  ...  of cybercrimes; By leveraging high-level features and relationships mined from online social media, the proposed latent text mining model can predict a variety of cyber-attacks such as DDoS, malware,  ... 
doi:10.7763/ijfcc.2013.v2.187 fatcat:ozq4nnpct5fp5bjcn7nmbi4w24

Exploring Social Relationships in Text Streams

Ye Wang
2016 EAI Endorsed Transactions on Scalable Information Systems  
Most raw information related to social relationships are continuously generated by social networks in a form of text, for the reason that it has the lowest storage consumption while still possesses powerful  ...  Mining social relationships offers us an opportunity to gain insights from non-obvious relationships between individuals.  ...  Therefore, mining social relationships on social media has called for new mining theories and techniques that work on data stream and enable real-time relationships analysis.  ... 
doi:10.4108/eai.9-8-2016.151631 fatcat:oacil33o55fpdla722dyanjjoe

A Novel Framework for Mining Social Media Data Based on Text Mining, Topic Modeling, Random Forest, and DANP Methods

Chi-Yo Huang, Chia-Lee Yang, Yi-Hao Hsiao
2021 Mathematics  
Therefore, in this paper, we aim to propose an analytic framework to mine social networks, feed the meaningful information via MCDM methods based on a theoretical framework, derive causal relationships  ...  The huge volume of user-generated data on social media is the result of the aggregation of users' personal backgrounds, past experiences, and daily activities.  ...  The integration of MCDM methods with big data analytics in general, and social media mining in particular, has been rare.  ... 
doi:10.3390/math9172041 fatcat:zewlvwxazzhwtgymch3z4qpy4i

A Perspective on Text Classification, Clustering, and Named-entity Recognition in Social Media

Kia Jahanbin, Research Center for Social Determinants of Health, Jahrom Universityof Medical Sciences, Jahrom, Iran, Fereshte Rahmanian, Vahid Rahmanian, Masihollah Shakeri, Heshmatollah Shakeri, Zhila Rahmanian, Abdolreza Sotoodeh Jahromi
After the emergence of social media, an enormous amount of data started to generate.  ...  To demonstrate the huge amount of data generated by social media aff irms that through Facebook, 10 million photos are uploaded every day.  ...  According to Mukkamala ., (2014) classif ication, social media mining presents six most representative research issues in the social media mining: i) community analysis or detection, ii) opinion mining  ... 
doi:10.21276/ambi.2019.06.1.ga01 fatcat:mvug2ixu5fe3jfshswi42lxofa

Visual Data Mining in a Q&A Based Social Media Website [chapter]

Jin Zhang, Yiming Zhao
2014 Library and Information Sciences  
Data mining methods and technologies have been applied to different social media environments but seldom applied to narrative information based Q&A sites.  ...  This paper aimed to employ visual data mining techniques to address health care consumer terms use behavior in the Yahoo!Answers.  ...  This study employed two visualization mapping methods to mine social media data.  ... 
doi:10.1007/978-3-642-54812-3_5 fatcat:szqagm7sm5exhl2vochzjdhivi

Current Trends in Text Mining for Social Media

Tajinder Singh, Madhu Kumari, Triveni Lal Pal, Ahsan Chauhan
2017 International Journal of Grid and Distributed Computing  
This paper focuses on description of assorted social media text mining methods with their viabilities and summarizes various commercial and open source tools for such data analysis Table 2.  ...  As text mining plays a significant and crucial role in discovery of these insights therefore its challenges and contribution in social media analysis must be explored extensively.  ...  The inimitability of social media data calls for novel data mining techniques that can cooperatively knob user generated content with affluent social relations [37] .  ... 
doi:10.14257/ijgdc.2017.10.6.02 fatcat:zl6yzig24ba7xgdsxlcj3yns4u

Sentimental Data Analysis-To Predict the User Emotions

Pranesh S, Jenita J R, Nisha D, Prabakar D
2021 International Research Journal on Advanced Science Hub  
Creating a survey website in which the information will be updated automatically by analyzing the data in social media.  ...  The Neutral emotions are calculated through polarity score which represents the percentage of text emotions of a collected set of data.  ...  Centred on social media big data, we created a ground breaking method for sentiment computing for news events.  ... 
doi:10.47392/irjash.2021.056 fatcat:nptwbsgxwrbcldru4dbho7qjme

Survey on Online Social Networks Analysis Concepts and Knowledge Discovery Techniques

Noha Negm, Hany Mahgoub
2019 International Journal of Computer Applications  
This survey investigates the current progression in the field of knowledge discovery in OSNA and covers all basic techniques of Data, Text, and Web mining that are widely used for the exploration of the  ...  The main goal of this paper is to introduce a roadmap for the researchers who are interesting on the topics of knowledge discovery techniques for discovering totally different trends in OSN data.  ...  ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers for their help to improve this paper.  ... 
doi:10.5120/ijca2019918904 fatcat:cpgrjidxxvhcxjycf3xewrss4y

Bringing structure to text

Jiawei Han, Chi Wang, Ahmed El-Kishky
2014 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14  
Text data in electronic forms are ubiquitous, ranging from scientific articles to social networks, enterprise logs, news articles, social media and general web pages.  ...  In this tutorial, we provide a comprehensive survey on the state-of-the art of data-driven methods that automatically mine phrases, extract and infer latent structures from text corpus, and construct multi-granularity  ...  In the big data age, vast amount of data generated in the world is unstructured or loosely structured, in the form of text, ranging from news to social media, business, government, and scientific documents  ... 
doi:10.1145/2623330.2630804 dblp:conf/kdd/HanWE14 fatcat:wcq4brxwnvf4nkpiv5txqkdwuy

Hyper Spectral Prevalent News Customization System With Sentimental Analysis

Geethu Rajeev
2019 International Journal of Information Systems and Computer Sciences  
Users can share the valuable information from online news media to online social media. Online user generated reviews become an inevitable part of decision making process.  ...  Natural language processing technologies is used for online reviews. Analyzing the overall sentiment expressed in a whole piece of text or in the form of like or dislike.  ...  1.INTRODUCTION The mining of profitable data from online resources has become a noticeable area in information technology. In modern times social media services provide an enormous amount of data.  ... 
doi:10.30534/ijiscs/2019/34822019 fatcat:chibog4kenekbbnb62l62zqcza
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