PersianTopicDetection

An implementation of a deep convolutional neural network to classify Persian news topics.

A news article discusses current or recent news of either general interest (i.e. daily newspapers) or on a specific topic (i.e. political or trade news magazines, club newsletters, or technology news websites). A news article can include accounts of eyewitnesses to the happening event. We must have seen the news divided into categories when we go to a news website. Some of the popular categories that you’ll see on almost any news website are tech, entertainment, sports, etc.News topic classification is a method of classifying news articles available in text data into some predefined classes or labels. This is one of the applications of text classification.

In this project a CNN model is used to classify Persian news into 5 main topics: Sports, Business, Politics, Entertainment, Tech

Dataset

The Hamshahri Corpus (Persian: پیکره همشهری) is a sizable Persian corpus based on the Iranian newspaper Hamshahri, one of the first online Persian-language newspapers in Iran. It was initially collected and compiled by University of Tehran.

Hamshahri corpus Homepage

Author

Zahra Aershia

• GitHub: @ZahraArshia
• LinkedIn: @ZahraArshia

Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the issues page.

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License

This project is MIT licensed.