Deep learning approach based hybrid fine-tuned Smith algorithm with Adam optimiser for multilingual opinion mining

IF 1.2 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY Pub Date : 2023-01-01 DOI:10.1504/ijcat.2023.10057079

A. Shahade, K. Walse, V. Thakare

引用次数: 0

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基于深度学习的混合微调Smith算法和Adam优化器的多语种意见挖掘

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

2.80

自引率

45.50%

发文量

期刊介绍： IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training. Topics covered include: -Computer applications in engineering and technology- Computer control system design- CAD/CAM, CAE, CIM and robotics- Computer applications in knowledge-based and expert systems- Computer applications in information technology and communication- Computer-integrated material processing (CIMP)- Computer-aided learning (CAL)- Computer modelling and simulation- Synthetic approach for engineering- Man-machine interface- Software engineering and management- Management techniques and methods- Human computer interaction- Real-time systems