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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Spam Detection in Twitter Stream |
| Authors Name: | Akanksha Nagdeve , Prof. M.M Ambekar |
| Unique Id: | IJSDR1911010 |
| Published In: | Volume 4 Issue 11, November-2019 |
| Abstract: | There are many most popular social media sites in today’s world one of them is Twitter. These sites may contain many of the spam tweets on it as it important to detect spam tweets or save us from the spammer ones from their tweets as this means to be identifying the spam fake users who post the spam tweets on the twitter. As there are several methods used to detect spam ones we are using a machine learning method in our work to detect the spam tweets. This method consists of spam detectors module, detectors to detect the blacklist domain in the form of URL’s called as blacklist URL’s or any other spam tweets which may contain some spammy words by those we can identify the spam tweets this can also help us to detect the trusted user or the spammer user one. As it is difficult to detect the spammer one user as there are many more accounts and there data available on the twitter. As for this we purpose a machine learning method to detect the spam tweets on the tweeter by their tweets using Semi- Supervised and Supervised method in the Machine learning |
| Keywords: | Machine learning method, Semi-supervised, Supervised, Twitter, Detectors. |
| Cite Article: | "Spam Detection in Twitter Stream", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 11, page no.71 - 74, November-2019, Available :http://www.ijsdr.org/papers/IJSDR1911010.pdf |
| Downloads: | 000337068 |
| Publication Details: | Published Paper ID: IJSDR1911010 Registration ID:191109 Published In: Volume 4 Issue 11, November-2019 DOI (Digital Object Identifier): Page No: 71 - 74 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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