ID	268
Authors	PINTÉR Dániel Gergő, IHÁSZ Péter Lajos
Title	Bridging Natural Language Processing AI technique and Corporate Communications
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Subtitle	towards an integrative model
Subtitle (translation)
Keywords	business management, natural language processing, public relations, corporate communication, deep learning, information society, artificial intelligence, AI ethics
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Issue	2019/4
DOI	https://doi.org/10.22503/inftars.XIX.2019.4.6
Abstract	Today’s communication channels and media platforms generate a huge amount of data, which - through advanced AI- (Machine Learning) based techniques - can be leveraged to significantly enhance business networking, improve the efficiency of public relations, management, and extend the possible application areas of communication components. As a sub-discipline of AI, Natural Language Processing (NLP) is frequently utilized in the field of corporate communications (CC) to boost target- group satisfaction through information retrieval and automated dialogue services. This paper gives an overview of the use of NLP in different disciplines of CC, discusses general corporational/organizational practices, and identifies promising research topics for the future while pointing out the ethical aspects of user-data handling and customer engagement. The findings of this synthesizing study are based on primer qualitative research building on the methodology of deep interviews and focus group research involving experts practicing in the fields of CC and NLP. Based on the feedbacks of the participants, a refined CC model was developed, as well as a model mapping conventional NLP techniques onto CC disciplines and tasks they are utilized for.
Abstract (translation)
Language	English
Pages	77-99
Column	Tanulmányok