Open Access
Peer-Reviewed
Original Research
Annotating Unstructured Texts for Enhancing Semantic Analysis Processes
Abstract
Annotation is a powerful instrument for enhancing knowledge containing in texts. When developing a text analysis process, we often make notes for identifying and characterizing concepts and relationships, or highlighting aspects in the text that could go unnoticed by some of its readers. In addition, text annotation can enrich the semantics of texts, giving them more value through the
Keywords
Annotation Systems
Natural Language Processing
Machine Learning
Automatic Tagging
Unstructured Texts
The Book of Properties
Declarations & Ethics
Funding:
This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Fraga, et al. (2023). Annotating Unstructured Texts for Enhancing Semantic Analysis Processes. IADIS International Journal on Computer Science and Information Systems, 18(1). https://doi.org/10.33965/ijcsis_2023_v18i1_04
Fraga, et al. "Annotating Unstructured Texts for Enhancing Semantic Analysis Processes." IADIS International Journal on Computer Science and Information Systems, vol. 18, no. 1, 2023. https://doi.org/10.33965/ijcsis_2023_v18i1_04
Fraga, et al. "Annotating Unstructured Texts for Enhancing Semantic Analysis Processes." IADIS International Journal on Computer Science and Information Systems 18, no. 1 (2023). https://doi.org/10.33965/ijcsis_2023_v18i1_04