| Autor: |
Aman Agrawal, Mohd. Aamir Khan, Deepanshu Bharadwaj, Aprna Tripathi |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9789811533822 |
| DOI: |
10.1007/978-981-15-3383-9_38 |
| Popis: |
Peoples are generally influenced what everyone else is saying. A person observes a thing according to their nature, whether they are positive or negative kind of person. When these persons tweet other persons influenced by their thoughts. Social media is nowadays a huge platform to spread a news. In this paper, we proposed a method to identify the user’s behavior on the micro-blogging site Twitter. Tweets are extracted according to the topic followed by the users behavior is analyzed according to their previous tweets. This method can be used in many ways to stop spamming on social media. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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