Search
Abstract
classification tasks. The discussion focuses on two important research hypotheses: (1) whether it is possible to construct such an ontology from a corpus of textual document, and (2) whether it is possible and beneficial to use inferencing from this ontology to support the process of sentiment classification. To support the first hypothesis we present a method of extraction of hierarchy of contexts from a set of textual documents and encoding this hierarchy into a multi-level contextual ontology. To support the second hypothesis, we present a method of reasoning from the ontology, and results of experimental verification, which show that use of this reasoning method can increase accuracy of sentiment classification for longer text documents
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Procedia Computer Science
no. 176,
pages 723 - 732,
ISSN: 1877-0509 - Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Waloszek W., Rizun N.: Contextual ontology for tonality assessment// Procedia Computer Science -Vol. 176, (2020), s.723-732
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.procs.2020.09.045
- Verified by:
- Gdańsk University of Technology
seen 131 times
Recommended for you
An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
- S. Natarajan,
- S. Kurian,
- P. Bidare Divakarachari
- + 1 authors