Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.8 Issue.3

Submission
Last date
30-Jun-2022
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-8,Issue-3. 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

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

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
Smart Irrigation System Using API TechnologyagricultureArati Balu Khatale Download
Product reviews and sentiment analysis using machine learningComputer EngineeringProf. D. S. Shingate Download
A survey on Stock Market Prediction TechniquesComputer EngineeringMahesh Madhukar Mahajan Download
LUNG X-RAY IMAGE ENHANCEMENT TO IDENTIFY PNEUMONIA WITH CNNComputer EngineeringSakshi K. Jadhav Download
Automatic Segmentation of COVID-19 Pneumonia Abrasion from CT Images using Deep Learning: A ReviewComputer EngineeringMrs.Komal Katore Download
Optimization of solar farm using IOTComputer Engineering Deore Vishal Rajendra Download
THE TECHNOLOGY OF GESTURE SENSINGComputer Engineering Omkar Pingale Download
Lightweight URL Phishing Detection System Using SVM and SimilarityComputer Engineering Khan Danish Musa Download
Crime Prediction Using Machine LearningComputer EngineeringNikhil Kashinath Nawale Download
E-Commerce Website Using Web DevelopmentComputer EngineeringIshwar Gambhir Download
Periodontal Diseases Diagnosed Automatically Using Image Processing Techniques.Computer Engineering Kundlik Bhope Download
Store Sales Prediction Using Machine Learning and AIComputer EngineeringShinde Saurabh Download
Face Recognition At Multiple Anglescomputer science Chaudhari Shubham Download
Smart Ambulance Management Application Using CloudComputer Engineering Mr.Akash Bansode Download
TEXT SUMMARIZATION USING NATURAL LANGUAGE PROCESSINGComputer EngineeringAnant Hiremath Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2022. IJARIIE. All Rights Reserved.