Web23 de mar. de 2024 · Motivation: Epilepsy is a multifaceted complex disorder that requires a precise understanding of the classification, diagnosis, treatment and disease mechanism governing it. Although scattered resources are available on epilepsy, comprehensive and structured knowledge is missing. In contemplation to promote multidisciplinary … Web18 de jun. de 2014 · We present a method for the automatic classification of text documents into a dynamically defined set of topics of interest. The proposed approach …
Ontology-Based Multilabel Text Classification of Construction ...
WebIn this paper, we propose an unsupervised multi-label text classification method to classify documents using a large set of categories stored in a world ontology. The approach has been promisingly evaluated by compared with typical text classification methods, using a real-world document collection and based on the ground truth encoded by … Web1 de abr. de 2024 · Context-driven ontology-based risk identification for onshore wind farm ... Automated ontology construction for unstructured text documents. Data Knowl. Eng. (2007) ... a classification with applications in telecommunications and... T. Cao et al. A study of risk relevance reasoning based on a context ontology of railway accidents ... david banks the nature conservancy
Improving ontology-based text classification: An occupational health ...
Web4 de mar. de 2024 · The ontology-based classification works in three stages, concepts are extracted from job offers text description as feature vectors, the minimum threshold … Web9 de jan. de 2024 · In addition, ML classifiers consistently miss the semantic feature of the word meaning. A novel fuzzy ontology-based semantic knowledge with Word2vec model is proposed to improve the task of transportation features extraction and text classification using the Bi-directional Long Short-Term Memory (Bi-LSTM) approach. Web12 de nov. de 2024 · The epilepsy ontology-based feature engineering approach improved the performance of all the three learning models with an ... as an ontology structure for feature ranking in text classification 22. gas-filled sheath