ozlemelo/detecting_fake_news

TfidfVectorizer & PassiveAggressiveClassifier

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chiraag-kakar/FUND

An NLP model to detect fake news and accurately classify a piece of news as REAL or FAKE trained on dataset provided by Kaggle.

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Pavansomisetty21/Fake-News-Detection-

fake news detection using passive Aggresive classifier

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SonicStrain/News-Reliability-tester

Detecting 'FAKE' news using machine learning.

Language: Python - Size: 8.14 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

rudrajikadra/Fake-News-Detection-with-Python-and-PassiveAggressiveClassifier

This is my Machine Learning model created with PassiveAggressiveClassifier to detect a news as Real or Fake depending on it's contents.

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rishabh-karmakar/Detection-of-Real-or-Fake-News

Detect Real or Fake News. To build a model to accurately classify a piece of news as REAL or FAKE. Using sklearn, build a TfidfVectorizer on the provided dataset. Then, initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.

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akrishna5/Fake_News_Detection

TARP Project

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JANBOUBI-ABDERRAHIM/Classification-and-specification-of-maritime-zones-in-juridique-articles

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Thilagavijayan/Data_Dredge

This webapp helps to find the inaccurate information around the world through news

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curiousnish/fake-news-detector

Detect FAKE news using sklearn

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Kirthik1104/Fake-News-Detection

Fake News Detection using Scikit-learn

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AgyeyaMishra/fake-news-detection-using-machine-learning

A project which examines the prevalence of fake news in light of communication breakthroughs made possible by the rise of social networking sites.

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yeguacelestial/fake-news-detection

A Django webapp that detects fake news with Machine Learning.

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aashish22bansal/Fake-News-Detection

This is a simple model which first vectorizes the training data using TF-IDF and then uses Passive Aggressive Classifier to train on the input data.

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tomershay100/Multiclass-Classification

Implementation of some machine learning algorithms for classification on the iris flowers data set

Language: Python - Size: 1010 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

jonathanlee06/FakeNewsDetectorApp

CheckThis is a Fake News Detection website developed by Jonathan Lee as part of the Final Year Project (FYP). The aim of this project is to create a simple web application to help ease the process of verifying the validity of a news article online

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pratham3012/Fake-News-Detector

This advanced python project of detecting fake news deals with fake and real news. Using sklearn, we build a TfidfVectorizer on our dataset. Then, we initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.

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smit-sms/Fake-News-Detection

This is a flask application that detects and identifies the fake or real news.

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20481A5450/Drug-Recommendation-System

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Irene-Busah/AI-projects

This repository keeps track and progress of my projects in machine learning, natural language processing, deep learning, etc

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sabin74/fake_news_detection

This project implements a Fake News Detection system using Python, Natural Language Processing (NLP), and machine learning. It classifies news articles as Real or Fake based on their textual content.

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udaykiran9392/fakenews_detection_using_ML

Implemented a machine learning model to detect fake news using Natural Language Processing techniques like TF-IDF and stemming. Trained multiple classifiers including Logistic Regression and PassiveAggressiveClassifier for accurate classification. This project showcases practical NLP skills for tackling misinformation in media.

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R-o-n-a-k/FND

An Passive Aggressive & Naive Bayes ML based model connected with Ui built on Python Flask for detecting news as fake or real.

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sfansaria/Instagram-Reach-Analysis

Analyzing Instagram Reach

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Ajit49/Fake-News-Detecting

To build a model to accurately classify a piece of news as REAL or FAKE.

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Lefteris-Souflas/AI-Fashion

"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.

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Anshler/fake_news_detector

Fake news detection in English and Vietnamese 📰❌

Language: Python - Size: 130 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

bilalhameed248/NLP-Fake-News-Classification

Fake News Classification using Naive Bayes, Passive-Aggressive (PA) Classifier and Artificia Neural Network (ANN)

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Ashwath0102/Detecting-Passive-Aggression-in-texts

NLP program to detect passive aggressive statements

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Yash-Barjatya/Fake_News_Detection

Fake News Detection using Machine Learning Algorithms and deploying using Flask

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AMIT110409/FakeNewsTfidVECTorizer-passiveAggressiveClassifier

TfidfVectorizer is a technique used to transform text data into numerical feature vectors.

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crncck/Fake-News-Detection

Fake News Detection with Multinomial NB Classifier and Passive Aggressive Classifier

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ousmal/Openclassrooms_P5_Categoriser_Questions

Projet de NLTP comparant des approches supervisées et non supervisées dans le cadre de la formation d'ingénieur machine Learning dispensé par Openclassrooms

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vrindaparam/Fake-News-Detection

Fake News Detection

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rahman-rakib/Song_Lyrics_Classification

Text classification model trained on the song lyrics of two similar artists, with the corpus built from web scraping and HTML parsing

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AkashBangalkar/Fake-News-Detection

Machine Learning - Binary Classification

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anweasha/Detecting-Fake-News

A machine learning model for detecting fake news

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doguilmak/Toxic-Tweet-Analysis

With PAC and XGBoost classifiers, two models have been developed to predict toxic or non-toxic tweets.

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doguilmak/IMDb-Movie-Interpretation-Sentiment-Analysis

In this laboratory, PAC and XGBoost models have been developed that predict positive or negative comments about various movies.

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abhirick23/Fake_news_detection

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doguilmak/Fake-News-Detection

In this project, with XGBoost and PAC models, it has been tried to guess whether the news is fake or real based on title and content.

Language: Python - Size: 19.6 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Big-Data-Course-Team/Machine-Learning-with-Spark-Streaming

Sentiment Analysis with Spark Streaming

Language: Python - Size: 851 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

prankur16shukla/Fake_News_Classifier

In this project, we will be creating a Fake news classifier model that will classify the news based on the 'title' and 'text', whether it is 'Real' or 'Fake'. The dataset that we are using here is taken from www.kaggle.com.

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ruky69/Fake-News-Detection

Fake news detection using different types of classification ML models

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Jash-tech/NLP-Fake-News-Detection

Natural language processing(NLP) model that predicts whether the news is FAKE or REAL.

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shrutibalan4591/Fake-News-Detection

A simple end-to-end project on fake v/s real news detection/classification.

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aaronsmoore/news-analysis

News Classification and Sentiment Analysis

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DevTotti/fake_news_classification

Classification of news to fake or real using the Support Vector Machine (SVC) achieving an accuracy of 92.8% and PAssive Aggressive Classifier (PAC) achieving 92.5% accuracy

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musstafa08-bug/Fake-News-Classifier

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