Abstract
Social networks have played a very critical role in very aspect of our daily life. However, a wide variety of bots have been found which are designed for some malicious purposes such as spreading spam mes- sages and faking news. Although various techniques have been proposed, this task is still challenging if we want to judge whether the tweets are posted by a bot or not merely based on the textual information. For this challenge, the Deepbot is designed which adopts the Bi-LSTM model to analyze tweets and a Web interface is provided for public access which is developed using Web service. From our empirical studies, this system can achieve better classification accuracy.
| Original language | English |
|---|---|
| Article number | 012063 |
| Journal | IOP Conference Series: Materials Science and Engineering |
| Volume | 719 |
| Issue number | 1 |
| DOIs | |
| State | Published - 8 Jan 2020 |
| Externally published | Yes |
| Event | 2019 3rd Annual International Conference on Cloud Technology and Communication Engineering, CTCE 2019 - Wuhan, China Duration: 15 Nov 2019 → 16 Nov 2019 |
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