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Title: :  Design of Machine Learning Approach For Spam Tweet Detection
PaperId: :  3167
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 5 2016
DUI:    16.0415/IJARIIE-3167
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Twinkle Kailas ShuklaSRES, COE Kopargaon
D.B.KshirsagarSRES, COE Kopargaon

Abstract

Computer Engineering
Feature Extraction, Machine Learning, Feature Discretization, Training Tweets, Sampling,
Online social networking is very vast growing growth today’s world but attacks on it is more common, Amongst them one of the attack is twitter attack in this Spammers spread various malicious tweets which may have form like as links or hash tags on the website and online services , which are too harmful to real users. In order to prevent this attacks training tweets are added and further this issues is addressed by extracting 12 lightweight features such as account age, no of followers, no of following, no of tweets, no of re-tweets etc. For streaming tweet spam detection a feature discretization is important to spam detection performance. In system there is a big groundtruth which includes total 600 public tweets based on the URL based security tool. Spam detection mainly builds the classification model which includes the binary classification and further it can be solved by the machine learning based algorithm. The machine learning algorithms such as Naïve Bayesian classifier or support vector machine classifier reported the behavior of models. System reported the impact of the data related factors, such as spam to non-spam ratio, training data size, and data sampling, to the detection performance. The feature of implemented system is simple and time varying spam tweet detection. The System is shows as the spam detection is big challenge and it bridge the gap between the performance evaluation and mainly focus on the data, feature and model to identify the genuine user and report the spam user by giving the answer in binary value.

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IJARIIE Twinkle Kailas Shukla, and D.B.Kshirsagar. "Design of Machine Learning Approach For Spam Tweet Detection" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 5 2016 Page 626-631
MLA Twinkle Kailas Shukla, and D.B.Kshirsagar. "Design of Machine Learning Approach For Spam Tweet Detection." International Journal Of Advance Research And Innovative Ideas In Education 2.5(2016) : 626-631.
APA Twinkle Kailas Shukla, & D.B.Kshirsagar. (2016). Design of Machine Learning Approach For Spam Tweet Detection. International Journal Of Advance Research And Innovative Ideas In Education, 2(5), 626-631.
Chicago Twinkle Kailas Shukla, and D.B.Kshirsagar. "Design of Machine Learning Approach For Spam Tweet Detection." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 5 (2016) : 626-631.
Oxford Twinkle Kailas Shukla, and D.B.Kshirsagar. 'Design of Machine Learning Approach For Spam Tweet Detection', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 5, 2016, p. 626-631. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Design_of_Machine_Learning_Approach_For_Spam_Tweet_Detection_ijariie3167.pdf (Accessed : 02 April 2018).
Harvard Twinkle Kailas Shukla, and D.B.Kshirsagar. (2016) 'Design of Machine Learning Approach For Spam Tweet Detection', International Journal Of Advance Research And Innovative Ideas In Education, 2(5), pp. 626-631IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Design_of_Machine_Learning_Approach_For_Spam_Tweet_Detection_ijariie3167.pdf (Accessed : 02 April 2018)
IEEE Twinkle Kailas Shukla, and D.B.Kshirsagar, "Design of Machine Learning Approach For Spam Tweet Detection," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 5, pp. 626-631, Sep-Oct 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Design_of_Machine_Learning_Approach_For_Spam_Tweet_Detection_ijariie3167.pdf [Accessed : 02 April 2018].
Turabian Twinkle Kailas Shukla, and D.B.Kshirsagar. "Design of Machine Learning Approach For Spam Tweet Detection." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 5 (02 April 2018).
Vancouver Twinkle Kailas Shukla, and D.B.Kshirsagar. Design of Machine Learning Approach For Spam Tweet Detection. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 02 April 2018]; 2(5) : 626-631. Available from: http://ijariie.com/AdminUploadPdf/Design_of_Machine_Learning_Approach_For_Spam_Tweet_Detection_ijariie3167.pdf
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