Projects & Grants
| Semantic analysis based on Neural Networks approaches | |
|---|---|
| Project Id | SGS07/ÚVAFM/2019 |
| Main solver | Mgr. Miroslav Kubát, Ph.D. |
| Period | 1/2019 - 12/2019 |
| Provider | Specifický VŠ výzkum |
| State | finished |
| Anotation | The project is thematically related to the series of previous SGS projects which were focused on neural based linguistic analysis. The goal of this SGS project is to make a previously developed analysis accessible for wider audience as an interactive web application. Concretely, the plan is to develop a web application which would allow to measure semantic properties of words chosen by a user and which would visualize the results of the analysis in comprehensive graphs.The second part of the project will be deal with a construction of semantic graph based on the similarity of the meanings of words which will be acquired with the method called Word2Vec. This graph will be later analyzed by the methods used to study complex networks.In comparison with our previous SGS projects, the analysis will be done on newer synchronic corpus SYN_V6 (Czech national corpus).The proposed project corresponds both to the research of the Institute for Research and Applications of Fuzzy Modeling of the University of Ostrava in the field of neural networks, as well as to the main branch of quantitative textual linguistics at the Department of Czech Language, Faculty of Arts of the University of Ostrava. |
