Irena Spasić
Biographic Data
| ID | 7805119 |
|---|---|
| NAME | Irena Spasić |
| GIVEN NAMES | Irena |
| FAMILY NAME | Spasić |
| SIGNATURE | SPASIC I |
| AFFILIATIONS | Cardiff University |
| ORCID | 0000-0002-8132-3885 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Self-Supervised Representation Learning for Geographical Data—A Systematic Literature Review
Self-supervised representation learning (SSRL) concerns the problem of learning a useful data representation without the requirement for labelled or annotated data. This representation can, in turn, be used to support solutions to downstream machine learning problems. SSRL has been demonstrated to be a useful tool in the field of geographical information science (GIS). In this article, we systematically review the existing research literature in …
Real-Time Text Classification of User-Generated Content on Social Media
The aim of this systematic review is to determine the current state of the art in the real-time classification of user-generated content from social media. Focus is on the identification of the main characteristics of data used for training and testing, the types of text processing and normalization that are required, the machine learning methods used most commonly, and how these methods compare to one another in terms of classification performan…
All-Wales licensed premises intervention (AWLPI)
UKCRN 14077; ISRCTN78924818
Mining term similarities from corpora
In this article, we present an approach to the automatic discovery of term similarities, which may serve as a basis for a number of term-oriented knowledge mining tasks. The method for term comparison combines internal (lexical similarity) and two types of external criteria (syntactic and contextual similarities). Lexical similarity is based on sharing lexical constituents (i.e. term heads and modifiers). Syntactic similarity relies on a set of s…
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Mining term similarities from corpora
In this article, we present an approach to the automatic discovery of term similarities, which may serve as a basis for a number of term-oriented knowledge mining tasks. The method for term comparison combines internal (lexical similarity) and two types of external criteria (syntactic and contextual similarities). Lexical similarity is based on sharing lexical constituents (i.e. term heads and modifiers). Syntactic similarity relies on a set of s…
All-Wales licensed premises intervention (AWLPI)
UKCRN 14077; ISRCTN78924818
Real-Time Text Classification of User-Generated Content on Social Media
The aim of this systematic review is to determine the current state of the art in the real-time classification of user-generated content from social media. Focus is on the identification of the main characteristics of data used for training and testing, the types of text processing and normalization that are required, the machine learning methods used most commonly, and how these methods compare to one another in terms of classification performan…
Self-Supervised Representation Learning for Geographical Data—A Systematic Literature Review
Self-supervised representation learning (SSRL) concerns the problem of learning a useful data representation without the requirement for labelled or annotated data. This representation can, in turn, be used to support solutions to downstream machine learning problems. SSRL has been demonstrated to be a useful tool in the field of geographical information science (GIS). In this article, we systematically review the existing research literature in …
Artificial Intelligence (3 works) · Computer Science (3 works) · Information retrieval (2 works) · Machine learning (2 works) · Mathematics (2 works) · Natural language processing (2 works) · Text and Document Classification Technologies (2 works) · Advanced Text Analysis Techniques (1 work) · Benchmarking (1 work) · Biomedical Text Mining and Ontologies (1 work)