Analyzing the Efficacy of Bot Detection Methods on Twitter/X
Abstract Harmful Twitter Bots (HTBs) are widespread and adaptable to a wide range of
social network platforms. The use of social network bots on numerous social network …
social network platforms. The use of social network bots on numerous social network …
[PDF][PDF] Detection of Bots on Social Networks: A Review
MJ Sheyegan, J Mazinani - 2023 - sid.ir
There is no doubt that social networks have gained prominence among users in today's
society. Having received special attention from users, social network marketing has attracted …
society. Having received special attention from users, social network marketing has attracted …
[PDF][PDF] Research Article Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques
AP Rodrigues, R Fernandes, A Aakash, B Abhishek… - 2022 - academia.edu
In this modern world, we are accustomed to a constant stream of data. Major social media
sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to …
sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to …
[PDF][PDF] COLLABORATIVE FILTERING OF MALICIOUS INFORMATION FROM THE MULTIMEDIA DATA USING DEEP BELIEF NEURAL NETWORK
M Gomathy, A Vidhya - ijecsd.com
Every aspect of daily life has been impacted by the Internet's debut, which allowed for global
virtual collaborations. Owing to the internet's wide distribution, the exponential increase of …
virtual collaborations. Owing to the internet's wide distribution, the exponential increase of …
[引用][C] Analisis Perbandingan Sentimen Pengguna Twitter Terhadap Layanan Salah Satu Provider Internet Di Indonesia Menggunakan Metode Klasifikasi
N Alamsyah - TEMATIK, 2023