Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This study proposes an autonomous early decision system for cyber security related contents of Twitter. In the context, both cyber and non-cyber security related tets are collected and the obtained data is trained by means of Naive Bayes Classifier. Besides, Term Frequency - Inverse Document Frequency (TF-IDF) term ighting method is used for vectorization purpose. Experimental results show that, the developed system can classify the tets in terms of their cyber security related or non-related security with the 70.03% success rate. It can be included that the system can be used as an alert system on Twitter for early cyber-attack detection.
['Yigit Erkal', 'Mustafa Sezgin', 'Sedef Gunduz']
I am writing a research paper on a idea A New Cyber Security Alert System for Twitter
[{"from": "human", "value": "I am writing a research paper on a idea A New Cyber Security Alert System for Twitter"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This study proposes an autonomous early decision system for cyber security related contents of Twitter. In the context, both cyber and non-cyber security related tets are collected and the obtained data is trained by means of Naive Bayes Classifier. Besides, Term Frequency - Inverse Document Frequency (TF-IDF) term ighting method is used for vectorization purpose. Experimental results show that, the developed system can classify the tets in terms of their cyber security related or non-related security with the 70.03% success rate. It can be included that the system can be used as an alert system on Twitter for early cyber-attack detection."}]