Pinned Repositories
awesome-community-detection
A curated list of community detection research papers with implementations.
Fake-Review-Detection
Detecting Fake Reviews using Semi-Supervised Learning from the Yelp Restaurant Reviews Dataset
fakeReviews
Detection of fake review of hotel by using text classification
homework
Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
machine-learning-course
:speech_balloon: Machine Learning Course with Python:
spam-detection
Detecting Fake Hotel Reviews
Spam-Filtering
Twitter-Bot-Detection
Twitter popularity has fostered the emergence of a new spam marketplace. The services that this market provides include: the sale of fraudulent accounts, affiliate programs that facilitate distributing Twitter spam, as well as a cadre of spammers who execute large scale spam campaigns. In addition, twitter users have started to buy fake followers of their accounts. In this project we present machine learning algorithms we have used to detect fake followers in Twitter.We identified a number of characteristics that distinguish fake and genuine followers. We used these characteristics as attributes to machine learning algorithms to classify users as fake or genuine.
Ell1111's Repositories
Ell1111/awesome-community-detection
A curated list of community detection research papers with implementations.
Ell1111/Fake-Review-Detection
Detecting Fake Reviews using Semi-Supervised Learning from the Yelp Restaurant Reviews Dataset
Ell1111/fakeReviews
Detection of fake review of hotel by using text classification
Ell1111/homework
Ell1111/Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Ell1111/machine-learning-course
:speech_balloon: Machine Learning Course with Python:
Ell1111/spam-detection
Detecting Fake Hotel Reviews
Ell1111/Spam-Filtering
Ell1111/Twitter-Bot-Detection
Twitter popularity has fostered the emergence of a new spam marketplace. The services that this market provides include: the sale of fraudulent accounts, affiliate programs that facilitate distributing Twitter spam, as well as a cadre of spammers who execute large scale spam campaigns. In addition, twitter users have started to buy fake followers of their accounts. In this project we present machine learning algorithms we have used to detect fake followers in Twitter.We identified a number of characteristics that distinguish fake and genuine followers. We used these characteristics as attributes to machine learning algorithms to classify users as fake or genuine.