Sökning: "manual bot classification"

Hittade 2 uppsatser innehållade orden manual bot classification.

1. 1. A comparative study of social bot classification techniques

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Filip Örnbratt; Jonathan Isaksson; Mario Willing; [2019]
   Nyckelord :manual bot classification; social bot; metadata; machine learning; supervised learning; unsupervised learning; random forest; k-means;

   Sammanfattning : With social media rising in popularity over the recent years, new so called social bots are infiltrating by spamming and manipulating people all over the world. Many different methods have been presented to solve this problem with varying success. LÄS MER

3. 2. Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Erik Christopher Teljstedt; [2016]
   Nyckelord :bot detection; information operations; synthetically constructed training data; social media analysis; classification; learning systems; social networking online ; bot detection; classification performance; classification results; machine learning approaches; military conflicts; semi-automatic; automation;

   Sammanfattning : In this thesis, we have studied the problem of detecting automated Twitter accounts related to the Ukraine conflict using supervised learning. A striking problem with the collected data set is that it was initially lacking a ground truth. LÄS MER