The Model of Semantic Concepts Lattice For Data Mining Of Microblogs
Bohdan Pavlyshenko
TL;DR
This paper introduces a semantic concept lattice model designed for data mining in microblogs, demonstrating its effectiveness in analyzing semantic relations and detecting associative key word rules.
Contribution
The paper presents a novel semantic concept lattice model specifically tailored for microblog data mining, enhancing semantic analysis and rule detection capabilities.
Findings
Effective analysis of semantic relations in microblogs
Successful detection of associative key word rules
Demonstrated model improves data mining processes
Abstract
The model of semantic concept lattice for data mining of microblogs has been proposed in this work. It is shown that the use of this model is effective for the semantic relations analysis and for the detection of associative rules of key words.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRough Sets and Fuzzy Logic · Advanced Computational Techniques and Applications · Data Mining Algorithms and Applications