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篇名
Comprehensive analysis of deep learning based text classification models and applications
並列篇名
Comprehensive analysis of deep learning based text classification models and applications
作者 Niraj Kumar (Niraj Kumar)Subhash Chandra Yadav (Subhash Chandra Yadav)
英文摘要
The social media platform has become one of the prime modes of interaction between different natures of peoples, where they used to share their feelings in the form of textual messages. Due to the easy availability of plenty of social media tools like Twitter, Flickr, Imgur, Facebook etc. more and more people are indulging themselves in propagating enormous amounts of information on diverse nature of topics/various issues, and that has become a huge source of data to be analyzed by the researchers to extract useful information. This research article comprises a brief study of different text classification models, which uses deep learning algorithm in Natural Language Processing task. However, it remains a challenging issue for most of the researchers to get absolute architecture, layout and appropriate techniques for classifying text data. Further, the study reveals a brief discussion on the relevance of various deep learning models available for text classification along with their feature assessment also a comparative study of the various available deep-learning models have also been done during the work.
起訖頁 1-11
關鍵詞 Text classificationNeural networkAttention mechanismTransformerRNNDeep learning
刊名 國際應用科學與工程學刊  
期數 202309 (20:3期)
出版單位 朝陽科技大學理工學院
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該期刊-下一篇 Determination of the defect’s size of multi-layer woven CFRP based on its temperature profile
 

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