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 …

Text classification requires previously extraction of features describing the text documents in
the collection. Usually these features are based on the occurrence frequency of words, N …

In the development of sustainable transportation, traffic safety is a significant matter, and
predicting the severity of traffic accidents is still a critical problem in the traffic safety field …

As a subjective behaviour relying on expert experience, automatic evaluation of writing
quality always remains a technical issue. It requires both effective semantic understanding …

Natural language processing for languages with limited resources is hampered by a lack of
data. Using English as a hub language for such languages, cross-lingual sentiment analysis …

In the present paper, a framework for the continued supporting a systematic literature review
(SLR) is proposed, which includes the application of text mining methods in order to …

Sažetak “Opinion analysis, also called opinion recognition, is a field of research that
analyses people's opinions, attitudes, evaluations, and feelings toward entities and their …

Feature selection in text classification is applied to reduce the dimensionality of the vector
space model. As a result, computational costs are reduced during model training and the …

Aftersales services contribute immensely to customer satisfaction, generating repeat
business that can translate to repeat revenue generation and improved market share and …

Human beings are very natural at giving opinions. The phenomenon is so natural to humans
that its effect can be seen in written and spoken texts in a variety of formal and informal …