https://github.com/LzyFischer/BIC
공식 코드BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Academic studies estimate that up to 15% of Twitter users are automated bot accounts [1]. The prevalence of Twitter bots coupled with the ability of some bots to give seemingly human responses has enabled these non-human accounts to garner widespread influence. Hence, detecting non-human Twitter users or automated bot accounts using machine learning techniques has become an area of interest to researchers in the last few years.
[1] https://aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15587
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark
Evading classifiers in discrete domains with provable optimality guarantees
Evading classifiers in discrete domains with provable optimality guarantees
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.