MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data

MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data

Searching, retrieving, and arranging text in ever-larger document collections necessitate more efficient information processing algorithms. Document categorization is a crucial component of various information processing systems for supervised learning. As the quantity of documents grows, the perfor...

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Bibliographic Details
Main Authors: Khan Md Hasib, Sami Azam, Asif Karim, Ahmed Al Marouf, F M Javed Mehedi Shamrat, Sidratul Montaha, Kheng Cher Yeo, Mirjam Jonkman, Reda Alhajj, Jon G. Rokne
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Big data
text classification
imbalanced data
machine learning
MCNN-LSTM
Online Access:https://ieeexplore.ieee.org/document/10233873/

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