Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
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Feb 21, 2020 - Python
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
use regular expression, SVM, TF-IDF, x2test; classify Chinese news into three events: "financing event"(融资事件), "products release"(产品发布), "other"(其他)
This streamlit app is used for classifying news Headlines into different categories
Train a model to categorize news articles, scrape and translate articles, and predict their categories using TensorFlow, Keras, and Google Translate API.
The project involves developing a news classification system to distinguish between true and fake news using Logistic Regression and Decision Tree models. It includes data preprocessing, model training, and manual testing functionalities to evaluate the accuracy of the classifiers.
This is a text ming project which uses a famous algorithm called Naive-Bayes. The programming language used for this is Python.
LSTM network designed to recognize Fake news from "True" news
News classification merupakan aplikasi untuk melakukan prediksi kategori berita berdasarkan isi dari berita tersebut.
Interpseech 2024 - News Topic classification (dataset, evaluation and models source)
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