Research Article
The Design of Philosophy and Social Sciences Terms Dictionary System Based on Big Data Mining
@INPROCEEDINGS{10.1007/978-3-030-67871-5_14, author={Han-yang Li}, title={The Design of Philosophy and Social Sciences Terms Dictionary System Based on Big Data Mining}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I}, proceedings_a={ADHIP}, year={2021}, month={2}, keywords={Big data mining Philosophy and social sciences Term dictionary Reaction time}, doi={10.1007/978-3-030-67871-5_14} }- Han-yang Li
Year: 2021
The Design of Philosophy and Social Sciences Terms Dictionary System Based on Big Data Mining
ADHIP
Springer
DOI: 10.1007/978-3-030-67871-5_14
Abstract
Aiming at the problem that the traditional dictionary system cannot use the big data mining technology for term calculation, which leads to the long response time of the dictionary system retrieval, a philosophy and social science term dictionary system based on big data mining is designed. The hardware part designs the system controller and connects the single-chip microcomputer connection circuit. The software part first divides the term dimensions according to the characteristics of philosophy and social science terms, mines the corpus according to different dimensions, completes the calculation of philosophy and social science terms, sets up the term database structure, and finally completes the software design of the dictionary system. The experimental results show that: Compared with the traditional dictionary system, the search time of philosophy and Social Sciences terminology dictionary system based on big data mining is the shortest, and the detection accuracy of philosophy and social science terms is higher, which is suitable for all applications.
