Contextual ontology for tonality assessment | Zendy

Wojciech Waloszek | Zendy; Nina Rizun | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Contextual ontology for tonality assessment

Author(s) -

Wojciech Waloszek,

Nina Rizun

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.09.045

Subject(s) - computer science , tonality , ontology , information retrieval , natural language processing , human–computer interaction , artificial intelligence , data science , epistemology , philosophy , art , musical , visual arts

classification tasks. The discussion focuses on two important research hypotheses: (1) whether it is possible toconstruct such an ontology from a corpus of textual document, and (2) whether it is possible and beneficial to useinferencing from this ontology to support the process of sentiment classification. To support the first hypothesis wepresent a method of extraction of hierarchy of contexts from a set of textual documents and encoding this hierarchyinto a multi-level contextual ontology. To support the second hypothesis, we present a method of reasoning from theontology, and results of experimental verification, which show that use of this reasoning method can increase accuracy of sentiment classification for longer text documents

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research