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Enhancing Public Affairs Text Classification via BERT-CNN-BiLSTM Feature Fusion

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Published in:Information Technology And Control
Format: Online Article RSS Article
Published: 2026
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container_title Information Technology And Control
description
discipline_display Library & Information Science
discipline_facet Library & Information Science
format Online Article
RSS Article
genre Journal Article
id rss_article:25717
institution FRELIP
journal_source_facet Information Technology And Control
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Enhancing Public Affairs Text Classification via BERT-CNN-BiLSTM Feature Fusion
— — — — Journal of Information Systems
Information Science
Library & Information Science
sub_discipline_display Information Science
sub_discipline_facet Information Science
subject_display — — — — Journal of Information Systems
Information Science
Library & Information Science
— — — — Journal of Information Systems
Information Science
Library & Information Science
subject_facet — — — — Journal of Information Systems
Information Science
Library & Information Science
title Enhancing Public Affairs Text Classification via BERT-CNN-BiLSTM Feature Fusion
title_auth Enhancing Public Affairs Text Classification via BERT-CNN-BiLSTM Feature Fusion
title_full Enhancing Public Affairs Text Classification via BERT-CNN-BiLSTM Feature Fusion
title_fullStr Enhancing Public Affairs Text Classification via BERT-CNN-BiLSTM Feature Fusion
title_full_unstemmed Enhancing Public Affairs Text Classification via BERT-CNN-BiLSTM Feature Fusion
title_short Enhancing Public Affairs Text Classification via BERT-CNN-BiLSTM Feature Fusion
title_sort enhancing public affairs text classification via bert-cnn-bilstm feature fusion
topic — — — — Journal of Information Systems
Information Science
Library & Information Science
url https://itc.ktu.lt/index.php/ITC/article/view/42337