MohrezSheikh / A-Dynamic-Web-App-Using-Pre-trained-Transformer-Models-for-Sentiment-Analysis-and-Text-Summarization

In this repository, I used the Siebert Sentiment-Roberta-Large-English model for Sentiment Analysis and Facebook/Bart-Large-CNN for Text Summarization

Repository from Github https://github.comMohrezSheikh/A-Dynamic-Web-App-Using-Pre-trained-Transformer-Models-for-Sentiment-Analysis-and-Text-Summarization

flask-application machine-learning natural-language-processing sentiment-analysis text-summarization

A-Dynamic-Web-App-Using-Pre-trained-Transformer-Models-for-Sentiment-Analysis-and-Text-Summarization

In this repository, I used the Siebert Sentiment-Roberta-Large-English model for Sentiment Analysis and Facebook/Bart-Large-CNN for Text Summarization

I wrote about this project on Medium; you can check it out in the link below:

https://medium.com/@Mohrez/a-dynamic-web-app-using-pre-trained-transformer-models-for-sentiment-analysis-and-text-4ee67eae981e

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In this repository, I used the Siebert Sentiment-Roberta-Large-English model for Sentiment Analysis and Facebook/Bart-Large-CNN for Text Summarization

flask-application machine-learning natural-language-processing sentiment-analysis text-summarization

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