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The News Classifier web app was built using concepts of NLP(Natural Language Processing) and Machine Learning with an accuracy of 91.4 %.
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Classify news witch is Art, Economy, Military, Sport etc in Chinese.
Retrieving information and topic modelling on Covid-19 related news.
News-Articles-Sorting project is a machine learning-based system that aims to automatically categorize and sort news articles into predefined categories.
Fake News Detection website using Machine Learning by Team Ai
Using Gensim and SpaCy models for topic modeling in the news, and experimenting with LTSMs and GRUs to explore features such as writing style and sentiment per news category
News Topic Classification with Support Vector Machine
A Develop a multi-class classification model to classify news content according to their specific categories.
A group project to help people identify categories of tags for large quantities of untracked news articles with headlines or short descriptions available.
An implementation of a deep convolutional neural network to classify Persian news topics.