Data mining of public opinion: An overview

Hristova, Gloria; Bogdanova, Boryana; Netov, Nikolay

doi:10.1063/5.0100872

Cited by 2 publications

(3 citation statements)

References 45 publications

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“…To the best of the authors' knowledge, this is the first study aimed at applying a combination of transformer-based language models for mining citizens' interests, attitudes and emotions towards e-government development and e-services provision in Bulgaria. This finding is also supported by previous research in the field [12,13].…”

Section: Analysis Of Public Opinion On Government E-servicessupporting

confidence: 90%

“…Our methodology might also be applied in studying the public opinion on other digital services, important issues or emerging problems in the government domain. Furthermore, our approach utilizes data from different social networks used in the country, unlike other studies in the field that use mainly Twitter data for studying public opinion [13].…”

Section: Discussionmentioning

confidence: 99%

“…Sentiment analysis has numerous applications in various domains when people's opinion on various subjects plays a crucial role in decision-making and management. The increased awareness of policy-makers about the importance of interaction with the public in social networks recently led to applications of sentiment analysis in the government domain too [3,13]. Sentiment analysis can be divided into two general categories, namely -opinion mining and emotion mining [14].…”

Section: Recent Advances In Sentiment Analysis and Topic Modeling Of ...mentioning

confidence: 99%

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Utilization of Transformer-Based Language Models in Understanding Citizens’ Interests, Sentiments and Emotions Towards Public Services Digitalization

Hristova,

Netov

2023

Digitalization and Management Innovation II

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We live in an era of digital revolution not only in the industry, but also in the public sector. User opinion is key in e-services development. Currently the most established approaches for analyzing citizens’ opinions are surveys and personal interviews. However, governments should focus not only on developing public e-services but also on implementing modern solutions for data analysis based on machine learning and artificial intelligence. The main aim of the current study is to engage state-of-the-art natural language processing technologies to develop an analytical approach for public opinion analysis. We utilize transformer-based language models to derive valuable insights into citizens’ interests and expressed sentiments and emotions towards digitalization of educational, administrative and health public services. Our research brings empirical evidence on the practical usefulness of such methods in the government domain.

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Section: Analysis Of Public Opinion On Government E-servicessupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%