Methodology of Constructing and Analyzing the Hierarchical Contextually-Oriented Corpora - Publication - Bridge of Knowledge

Search

Methodology of Constructing and Analyzing the Hierarchical Contextually-Oriented Corpora

Abstract

Methodology of Constructing and Analyzing the Hierarchical structure of the Contextually-Oriented Corpora was developed. The methodology contains the following steps: Contextual Component of the Corpora’s Structure Building; Text Analysis of the Contextually-Oriented Hierarchical Corpus. Main contribution of this study is the following: hierarchical structure of the Corpus provides advanced possibilities for identification of the Morphological and Structural features of texts of different tonalities; Contextual, Morphological and Structural specificity of texts with tonality, originally assigned by the authors, has significant differences; exist the certain thought and writing style Templates, under the influence of which the formation of texts of various tonalities takes place. As basic features of such templates for the texts of the two basic (positive/negative) tonalities could be used: Contextual Structure, Morphological Types, Emotional Features, Writing Style and Vocabulary Richness. For verification of the proposed methodology, a case study of Polish-language film reviews Dataset was used.

Citations

  • 3

    CrossRef

  • 0

    Web of Science

  • 5

    Scopus

Authors (2)

Cite as

Full text

download paper
downloaded 38 times
Publication version
Accepted or Published Version
License
Creative Commons: CC-BY open in new tab

Keywords

Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
Proceeding of Federated Conference on Computer Science and Information Systems strony 505 - 514
Language:
English
Publication year:
2018
Bibliographic description:
Rizun N., Taranenko J..: Methodology of Constructing and Analyzing the Hierarchical Contextually-Oriented Corpora, W: Proceeding of Federated Conference on Computer Science and Information Systems, 2018, Annals of Computer Science and Information Systems,.
DOI:
Digital Object Identifier (open in new tab) 10.15439/2018f69
Verified by:
Gdańsk University of Technology

seen 95 times

Recommended for you

Meta Tags