spam-detection

Here are 11 public repositories matching this topic...

Wiskia / Spamer-Detect-System

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。

word2vec spam-detection lda-model

Updated Feb 21, 2020
Java

Benojir / Caller-ID

Star

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.

spam-protection spam-detection truecaller caller-id phone-number-information truecaller-android-sdk phone-number-lookup caller-information truecaller-api truecallerjs caller-lookup spam-call-detection caller-location phone-number-location-tracker truecallerpy

Updated Aug 11, 2024
Java

adwansyed / Machine-Learning-Naive-Bayes-Spam-Emails

Star

JavaFX application detecting whether files are spam or not using Naive Bayes filtering

java machine-learning javafx naive-bayes-classifier spam-filtering naive-bayes-algorithm spam-detection naive-bayes-classification naive-bayes-implementation

Updated Mar 17, 2017
Java

JayKumarr / Fake-Review-Detection

Star

Exploiting Behavioral Features to Detect Fake Reviews by Means of Contextual Features

python machine-learning text-mining text-classification classification opinion-mining feature-engineering spam-detection fake-review

Updated Mar 4, 2020
Java

marcelovca90-unifei / anti-spam-weka-cli

Star

Project of my master's degree in Computer Science ("Study and Research in Anti-Spam Systems") - Weka (CLI) approach.

machine-learning internet spam-detection network-security

Updated Mar 14, 2024
Java

marcelovca90-unifei / anti-spam-weka-gui

Star

Project of my master's degree in Computer Science ("Study and Research in Anti-Spam Systems") - Weka (GUI) approach.

machine-learning internet spam-detection network-security

Updated May 15, 2018
Java

AluMind fornece aplicativo focado em bem-estar e saúde mental. Os Feedbacks vindo dos usuários em diferentes plataformas são analisados com LLM, classificados por sentimento e são extraídas possíveis sugestões, resultando em uma resposta personalizada ao feedback do cliente.

mysql spring-boot spam-detection sentiment-classification prompt-engineering llm-inference groq-api llama3-70b-8192