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A Probabilistic Generative Model for Mining Cybercriminal Network from Online Social Media: A Review
2016
International Journal of Computer Applications
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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 Flickr.com: A pilot analysis
2013
Proceedings of the American Society for Information Science and Technology
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This poster describes a methodology to numerically represent the happiness of a city by mining user generated terms in Flickr.com. ...
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
2019
Asian Journal of Computer Science and Technology
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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
2013
Proceedings of the American Society for Information Science and Technology
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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
2015
Indian Journal of Science and Technology
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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
2013
International Journal of Future Computer and Communication
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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
2016
EAI Endorsed Transactions on Scalable Information Systems
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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
2021
Mathematics
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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
2019
AMBIENT SCIENCE
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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]
2014
Library and Information Sciences
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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
2017
International Journal of Grid and Distributed Computing
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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
2021
International Research Journal on Advanced Science Hub
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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
2019
International Journal of Computer Applications
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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
2014
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14
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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
2019
International Journal of Information Systems and Computer Sciences
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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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