The system uses machine learning and artificial intelligence to classify Twitter accounts who exhibit trollbot behavior, and we then add accounts that exceed a certain threshold to a publicly available database that anyone can browse. We trained Bot Sentinel to identify specific types of trollbot accounts using thousands of accounts and millions of tweets for our machine learning model. The system can correctly identify trollbot accounts with an accuracy of 95%. Unlike other machine learning tools designed to detect "bots," we are focusing on specific activities deemed inappropriate by Twitter rules. We analyze hundreds of Tweets per each Twitter account to determine if an account exhibit irregular tweet activity, engaging in harassment, or troll-like behavior
| Website | http://botsentinel.com |
| Employees | View employees |
| Address | P.O. Box 156, Hasbrouck Heights, New Jersey 07604, US |
| Industry | Search Engines & Internet Portals, Media & Internet |
| Competitors | CrowdTangle, Hootsuite, BuzzSumo, Sprinklr, NetBase Solutions, Inc., Mention, Talkwalker, Agorapulse, Keyhole, Sysomos Expion +41 more (view full list) |
| SIC | SIC Code 7375 Companies, SIC Code 73 Companies, SIC Code 737 Companies |
| NAICS | NAICS Code 517 Companies, NAICS Code 51 Companies, NAICS Code 517110 Companies, NAICS Code 5171 Companies, NAICS Code 51711 Companies |
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Bot Sentinel is based in Hasbrouck Heights, New Jersey.
The NAICS codes for Bot Sentinel are [517, 51, 517110, 5171, 51711].
The SIC codes for Bot Sentinel are [7375, 73, 737].