InfTars - Információs Társadalom
en / hu
Full Article: [pdf] DOI: https://doi.org/10.22503/inftars.XIX.2019.4.6 Language: en Author(s):  Dániel Gergő Pintér  / Péter Lajos Ihász
Title: Bridging Natural Language Processing AI technique and Corporate Communications Subtitle: towards an integrative model 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.
The publication of the Journal is supported by Budapest University of Technology and Economics.