Abstract
The topic of affective computing has been growing rapidly in recent times. In the last five years, the volume of publications in this field has tripled. The question arises which research trends are most in demand today. This can only be judged by analysing the publications that present the results of research. Since researchers have access to the entire global scientific publication space, the task of analysing big data arises. This leads to the problem of identifying the most significant results in the subject area of interest. This paper presents some results of the analysis of semi-structured information from scientific citation databases on the subject of “affective computing”.
Highlights
In the last five years, the volume of publications in this field has tripled
The Russian Science Citation Index, e-LIBRARY, and the international science citation database Science Direct were selected for the preliminary analysis
The concept of affective computing was introduced by Rosalind Picard of the Massachusetts Institute of Technology (MIT) in 1997
Summary
In the last five years, the volume of publications in this field has tripled (for more details, see [1] for an example). This base contains over 12 million scientific studies in Russian. The volume of data contained in such information data systems is quite large and it is practically impossible to analyse all publications relevant to the research topic without automated data processing. The task is to analyse loosely structured information from scientific publications to identify the main research trends in the selected field and to select the most relevant studies to these trends. Scientific citation databases are analysed by keywords and the most relevant publications on a given topic are highlighted. The Russian Science Citation Index, e-LIBRARY, and the international science citation database Science Direct were selected for the preliminary analysis. The analysis includes the following keywords: “Sentiment analysis”, “evaluating emotions”, “affective computing”, and “tonality analysis” Interest was aroused by the comparative analysis of scientific trends reflected in English-language and Russian-language publications and the analysis of terms used in this field in the selected languages
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