A Hybrid Social Mining Approach for Companies Current Reputation Analysis

2019 ◽  
pp. 429-438
Author(s):  
Falwah AlHamed ◽  
Aljohara AlGwaiz
Keyword(s):  
Social Mining

scholarly journals Cross-evaluation of social mining for classification of depressed online personas

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Alina Trifan ◽  
José Luis Oliveira
Keyword(s):  
Transfer Learning ◽  
Early Stage ◽  
Post Partum ◽  
Evaluation Study ◽  
Continuous Increase ◽  
Digital Phenotyping ◽  
Public Datasets ◽  
The Impact ◽  
Social Mining

Abstract With the continuous increase in the use of social networks, social mining is steadily becoming a powerful component of digital phenotyping. In this paper we explore social mining for the classification of self-diagnosed depressed users of Reddit as social network. We conduct a cross evaluation study based on two public datasets in order to understand the impact of transfer learning when the data source is virtually the same. We further complement these results with an experiment of transfer learning in post-partum depression classification, using a corpus we have collected for the matter. Our findings show that transfer learning in social mining might still be at an early stage in computational research and we thoroughly discuss its implications.

The Potential of Cognitive Social Mining Applications in Data Analytics for Protecting Social Media Users for National and International Security

2019 ◽  
pp. 1-24
Author(s):  
S. Uma ◽  
SenthilKumar T
Keyword(s):  
Social Media ◽  
National Security ◽  
Data Storage ◽  
Information Exchange ◽  
International Security ◽  
Cognitive Computing ◽  
Challenges And Opportunities ◽  
Social Media Platforms ◽  
The Individual ◽  
Social Mining

Using social media has become an integral part of life for people of different demographics for information exchange, searching, maintaining contact networks, marketing, locating job opportunities etc. Social networking is used for education, research, business, advertisements and entertainment. Social media platforms are prone to cybercrime, which is a threat not only for the individual user but for national and international security according to the National Security Council Report. With the advent of big data storage and analytics abilities, decision making is a potential problem and requires smarter machines to organize data faster, make better sense of it, discover insights, learn, adapt and improve over time without direct programming. Cognitive computing makes it easy to unveil the patterns hidden in unstructured data and make more informed decision on consequential matters. In this chapter is a discussion of the challenges and opportunities in social mining services and the applications of cognitive technology towards national security.

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