Text Analytics in Bulgarian: An Overview and Future Directions-Reference-Cited by-同舟云学术

Text Analytics in Bulgarian: An Overview and Future Directions

Published:2021-09-01 Issue:3 Volume:21 Page:3-23
ISSN:1314-4081
Container-title:Cybernetics and Information Technologies
language:en
Short-container-title:

Author:

Hristova Gloria¹

Affiliation:

1. Department of Statistics and Econometrics, Faculty of Economics and Business Administration , Sofia University “St. Kliment Ohridski” , 1113 Sofia , Bulgaria

Abstract

Abstract Text analytics is becoming an integral part of modern business and economic research and analysis. However, the extent to which its application is possible and accessible varies for different languages. The main goal of this paper is to outline fundamental research on text analytics applied on data in Bulgarian. A review of key research articles in two main directions is provided – development of language resources for Bulgarian and experimenting with Bulgarian text data in practical applications. By summarizing the results of a large literature review, we draw conclusions about the degree of development of the field, the availability of language resources for the Bulgarian language and the extent to which text analytics has been applied in practical problems. Future directions for research are outlined. To the best of the author’s knowledge, this is the first study providing a comprehensive overview of progress in the field of text analytics in Bulgarian.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/cait-2021-0027

Reference69 articles.

1. 1. Arkhipov, M., M. Trofimova, Y. Kuratov, A. Sorokin. Tuning Multilingual Transformers for Named Entity Recognition on Slavic Languages. – In: Proc. of 7th Workshop on Balto-Slavic Natural Language Processing (BSNLP’19), August 2019, pp. 89-93.10.18653/v1/W19-3712

2. 2. 451 Research. Addressing the Role of Unstructured Data with Object Storage. 2018. https://whitepapers.theregister.com/paper/view/7081/451-research-addressing-the-changing-role-of-unstructured-data-with-object-storage?td=s-uu

3. 3. Boytcheva, S. Assignment of ICD-10 Codes to Diagnoses in Hospital Patient Records in Bulgarian. – In: Proc. of International Workshop “Extraction of Structured Information from Texts in the BioMedical Domain” (ESIT-BioMed’10), Associated to the 18th Int. Conference on Conceptual Structures (ICCS’10), Kuching, Sarawak, Malaysia, July 2010, pp. 56-66.

4. 4. Boytcheva, S. Automatic Matching of ICD-10 Codes to Diagnoses in Discharge Letters. – In: Proc. of 2nd Workshop on Biomedical Natural Language Processing, September 2011, pp. 11-18.

5. 5. Boytcheva, S. Structured Information Extraction from Medical Texts in Bulgarian. – Cybernetics and Information Technologies, Vol. 12, 2012, No 4, pp. 52-65.10.2478/cait-2012-0030

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geo-spatial crime density attribution using optimized machine learning algorithms;International Journal of Information Technology;2023-02

2. Media Coverage and Public Perception of Distance Learning During the COVID-19 Pandemic: A Topic Modeling Approach Based on BERTopic;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

3. Converting Numeral Text in Bulgarian into Digit Number Using GATE;Mathematics and Informatics;2022-06-30

4. Data mining of public opinion: An overview;“TOPICAL ISSUES OF THERMOPHYSICS, ENERGETICS AND HYDROGASDYNAMICS IN THE ARCTIC CONDITIONS”: Dedicated to the 85th Birthday Anniversary of Professor E. A. Bondarev;2022

5. Design of ML-based AI system for mining public opinion on e-government services in Bulgaria;“TOPICAL ISSUES OF THERMOPHYSICS, ENERGETICS AND HYDROGASDYNAMICS IN THE ARCTIC CONDITIONS”: Dedicated to the 85th Birthday Anniversary of Professor E. A. Bondarev;2022