BiSAL – A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security

2015 ◽  
Vol 14 ◽  
pp. 53-62 ◽  
Author(s):  
Khalid Al-Rowaily ◽  
Muhammad Abulaish ◽  
Nur Al-Hasan Haldar ◽  
Majed Al-Rubaian
IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Saiba Nazah ◽  
Shamsul Huda ◽  
Jemal H. Abawajy ◽  
Mohammad Mehedi Hassan
Keyword(s):  

Author(s):  
Veronica Ravaglia ◽  
Luca Zanazzi ◽  
Elvis Mazzoni

Through Social Media, like social networking sites, wikis, web forums or blogs, people can debate and influence each other. Due to this reason, the analysis of online conversations has been recognized to be relevant to organizations. In the chapter we introduce two strategic tools to monitor and analyze online conversations, Sentiment Text Analysis (STA) and Network Text Analysis (NTA). Finally, we propose one empirical example in which these tools are integrated to analyze Word-of-Mouth regarding products and services in the Digital Marketplace.


Keyword(s):  

Headline INTERNATIONAL: Cyber security catches up on dark web


Author(s):  
Tim Unwin

Technology is all too often seen as being inherently good, and there are powerful interests limiting the amount of attention paid to the darker side of ICTs and Internet access in particular. However, these darker aspects are crucial to understanding ICT4D, especially since they can more seriously impact the poor, both countries and people, than the rich. The following main challenges are covered in the chapter: privacy and security; the Surface Web and the Dark Web; cyber-security and resilience; negative aspects of the exploitation of Big Data and the abuse of people through social media; and the increasing dehumanization of people through the use of ICTs and the Internet of Things.


Author(s):  
Yulei Zhang ◽  
Shuo Zeng ◽  
Li Fan ◽  
Yan Dang ◽  
Catherine A. Larson ◽  
...  
Keyword(s):  

Big Data ◽  
2016 ◽  
pp. 1277-1294
Author(s):  
Veronica Ravaglia ◽  
Luca Zanazzi ◽  
Elvis Mazzoni

Through Social Media, like social networking sites, wikis, web forums or blogs, people can debate and influence each other. Due to this reason, the analysis of online conversations has been recognized to be relevant to organizations. In the chapter we introduce two strategic tools to monitor and analyze online conversations, Sentiment Text Analysis (STA) and Network Text Analysis (NTA). Finally, we propose one empirical example in which these tools are integrated to analyze Word-of-Mouth regarding products and services in the Digital Marketplace.


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