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Deep Learning-Based Amharic Keyword Extraction For Open-Source Intelligence Analysis by felmiket fikadu is a document available to read on EtoBox.

What is Deep Learning-Based Amharic Keyword Extraction For Open-Source Intelligence Analysis about?

The thesis presents a deep learning-based approach for extracting keywords from Amharic text to enhance Open-Source Intelligence (OSINT) analysis. It addresses the challenge of information overload by proposing a model that utilizes machine and deep learning algorithms, particularly Bi-LSTM and BART, to identify salient keywords from large datasets. The study demonstrates that the proposed methods significantly improve keyword extraction accuracy and scalability for Amharic content.

Author

felmiket fikadu

Language

EN