对汽车之家论坛里的评论数据处理和分析,利用用户潜在行为数据得出用户行为特征,采用LDA主题模型得出用户评论的主题特征,采用Word2Vec词向量模型得出用户评论的文本内容特征,采用K-Means聚类得出水军文本类别,结合用户行为特征,最终实现了对网络水军的识别。
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Updated
Feb 21, 2020 - Java
对汽车之家论坛里的评论数据处理和分析,利用用户潜在行为数据得出用户行为特征,采用LDA主题模型得出用户评论的主题特征,采用Word2Vec词向量模型得出用户评论的文本内容特征,采用K-Means聚类得出水军文本类别,结合用户行为特征,最终实现了对网络水军的识别。
A lightweight Truecaller alternative app utilizing Truecaller’s API for enhanced call identification and spam protection. Efficient, reliable, and user-friendly for seamless communication management.
JavaFX application detecting whether files are spam or not using Naive Bayes filtering
Exploiting Behavioral Features to Detect Fake Reviews by Means of Contextual Features
Project of my master's degree in Computer Science ("Study and Research in Anti-Spam Systems") - Weka (CLI) approach.
Project of my master's degree in Computer Science ("Study and Research in Anti-Spam Systems") - Weka (GUI) approach.
Data sets used by the project of my master's degree in Computer Science ("Study and Research in Anti-Spam Systems").
DNSBL (DNS-Based Black List) checker.
BCA 6th Sem : Network Programming
This app used to detect spam messages
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