Bridging Natural Language Processing AI techniques and Corporate Communications: towards an integrative model

IF 0.7 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
D. Pintér, P. L. Ihasz
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引用次数: 0

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. The findings of this synthetizing study is 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.
连接自然语言处理人工智能技术和企业沟通:走向一体化模式
今天的通信渠道和媒体平台产生了大量的数据,通过先进的基于人工智能(机器学习)的技术,这些数据可以被用来显著增强商业网络,提高公共关系、管理的效率,并扩展通信组件的可能应用领域。作为人工智能的一个子学科,自然语言处理(NLP)经常被用于企业通信(CC)领域,通过信息检索和自动对话服务来提高目标群体的满意度。这项综合研究的结果是基于初级定性研究,建立在深度访谈和焦点小组研究的方法基础上,涉及CC和NLP领域的专家。基于参与者的反馈,开发了一个改进的CC模型,以及一个将传统NLP技术映射到CC学科和任务上的模型。
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来源期刊
Informacios Tarsadalom
Informacios Tarsadalom INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.30
自引率
33.30%
发文量
15
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