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Title: :  An intelligent spam detection using text mining
PaperId: :  2569
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2569
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Snehal SharmaSkn sinhgad institute of technology,lonavala
Monal SonarikarSkn sinhgad institute of technolgoy,lonavala
Monika PawarSkn sinhgad institute of technology,lonavala

Abstract

It enginnering
Spam, Non spam, filter keywords, TF-IDF, Cosine similarity, Naïve bayes, Score ranking, Detection
With the growing usages of social media application has main part of our daily life routine. According to oxford dictionary the spam is unsolicited and inapplicable messages send to the internet for large number of peoples. The motivation of spam is to spread the malware and pronunciation. The problem of spam becomes very critical for internet community. Sometimes large amount of web pages & social websites are considered as spam. Many spam techniques were proposed to approach the problem of spamming. The problem is direct affected to the users of the social networking sites such as Gmail, YouTube, Twitter, Facebook, Google+. The social networking sites Facebook and twitter are most familiar to the users. People used twitter in daily life and this reason why spammer most of attack on this social networking sites. In this research with the use of OSN we can classify data into two forms spam and Non spam .We first collect data from OSN application such as twitter by downloading comments. By using different algorithms and different techniques we further check whether the data is spam or non spam. We have developed a twitter based spam detection system using twitter comments and URLs. Our system comprises a database as training data set of comments & recognition will be applied on same comments for spam detection. The spam detection shows to drive people off of twitter and onto another social networking site, it will likely violate our spam policies. So our main aim is to develop spam detection system taking "spammer do not take advantage" into mind.

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IJARIIE Snehal Sharma, Monal Sonarikar, and Monika Pawar. "An intelligent spam detection using text mining" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 3197-3203
MLA Snehal Sharma, Monal Sonarikar, and Monika Pawar. "An intelligent spam detection using text mining." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 3197-3203.
APA Snehal Sharma, Monal Sonarikar, & Monika Pawar. (2016). An intelligent spam detection using text mining. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 3197-3203.
Chicago Snehal Sharma, Monal Sonarikar, and Monika Pawar. "An intelligent spam detection using text mining." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 3197-3203.
Oxford Snehal Sharma, Monal Sonarikar, and Monika Pawar. 'An intelligent spam detection using text mining', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 3197-3203. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/An_intelligent_spam_detection_using_text_mining_ijariie2569.pdf (Accessed : ).
Harvard Snehal Sharma, Monal Sonarikar, and Monika Pawar. (2016) 'An intelligent spam detection using text mining', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 3197-3203IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/An_intelligent_spam_detection_using_text_mining_ijariie2569.pdf (Accessed : )
IEEE Snehal Sharma, Monal Sonarikar, and Monika Pawar, "An intelligent spam detection using text mining," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 3197-3203, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/An_intelligent_spam_detection_using_text_mining_ijariie2569.pdf [Accessed : ].
Turabian Snehal Sharma, Monal Sonarikar, and Monika Pawar. "An intelligent spam detection using text mining." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver Snehal Sharma, Monal Sonarikar, and Monika Pawar. An intelligent spam detection using text mining. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 3197-3203. Available from: https://ijariie.com/AdminUploadPdf/An_intelligent_spam_detection_using_text_mining_ijariie2569.pdf
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