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A django application that allows you to summarize the content of a press article found by a user. It uses the T5 model for summarization, the LDA algorithm for topic modeling and Selenium to scrape the content of the linked article.

License: MIT License

Python 76.95% HTML 23.05%
django lda-model python selenium-webdriver summarization t5-base transformers app nlp

news-articles-summarizer's Introduction

News-Articles-Summarizer

A django application that allows you to summarize the content of a press article found by a user. It uses the T5 model for summarization, the LDA algorithm for topic modeling and Selenium to scrape the content of the linked article.

Application view Application operation

The project was part of the diploma thesis as a practical implementation of automatic text summarization using the T5 architecture.

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