Call for Papers:Vol.7 Issue.4

Submission
Last date		 30-Aug-2021
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-7,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

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.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

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
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 4/2/2018 3:06:31 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Farmer paperComputer EngineeringBhagyashree More Download
SMART DESKTOP ASSISTANT USING DIGITA IMAGE PROCESSINGComputer Science EngineeringAman Kulshrestha Download
Public Auditing for Secure and Efficient Cloud Data Storage: A Comprehensive SurveyComputer Engineering Ayesha Siddiqha Mukthar Download
Customized E-Certification Generation using Blockchain Technology for Distributed FrameworkComputer EngineeringSaber Take Download
BRAIN COMPUTER INTERFACE FOR EMERGENCY TEXT AND SPEECH CARE SYSTEMComputer EngineeringArpitha M J Download
SEO for Medical Products to target regional audience using Sentiment analysisSearch Engine OptimizationSwati Balaji Yelapure Download
Internet of Things Based Smart Shopping Cart using RFID Tag.Computer EngineeringSaurabh Shrivastav Download
Database Interaction using Speech RecognitionComputer EngineeringAiushman Roy Download
Voice Control Car Using Machine LearningComputer EngineeringDr.SATISH.N.GUJAR Download
Examination and Prediction of Diabetes Complication Disease utilizing Data Mining AlgorithmComputer EngineeringPriyanka Kole Download
Hotel gajal websiteDiploma in Computer EngineeringKavita Fakirba Bedke Download
Metal Pipe Bending Machine by Using Toggle JackMechanical Engineering Prof. N. C. Ghughe Download
AN STUDY ON STOCK PRICE PREDICTION USING MACHINE LEARNING AND CLOUD COMPUTINGComputer Engineering Sanket Zambare Download
SURVEY ON FINE-GRAINED FACIAL EXPRESSION RECOGNITION USING MACHINE LEARNINGComputer Engineering Mrs.Sanchita.N.Nawale Download
E-Commerce WebsiteComputer Engineering Amol Baviskar Download
12