Practical study on the semantic analysis algorithm based on text classification

Lei Deng; Xingzhen Tao; Gaohua Tian

doi:10.1117/12.2626656

21 December 2021 Practical study on the semantic analysis algorithm based on text classification

Lei Deng, Xingzhen Tao, Gaohua Tian

Proceedings Volume 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021); 121560L (2021) https://doi.org/10.1117/12.2626656
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 2021, Sanya, China

Abstract

With the development of information technology, the Internet data and resources have been greatly increased, showing the characteristics of massive amounts. In order to effectively manage and utilize these massive distributed information, content-based information retrieval and data mining have gradually become a field of attention in recent years. Among them, text classification (text categorization, TC) technology is an important basis for information retrieval and text mining. Its main task is to train the classified models based on the documents of a given category and the content of the documents, and then to judge or predict the categories of new documents through the classified models. This paper discusses the characteristics of the social network and the problems, in the future development of semantic analysis algorithms on text classification will also become more obvious.

Citation Download Citation

Lei Deng, Xingzhen Tao, and Gaohua Tian "Practical study on the semantic analysis algorithm based on text classification", Proc. SPIE 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 121560L (21 December 2021); https://doi.org/10.1117/12.2626656

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