Navigating computational linguistic in marketing practices: The barriers of natural language processing in social media marketing and a path to future research

IF 4 Q2 BUSINESS
Jana Gross, Kathleen Desveaud
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引用次数: 0

Abstract

Social media has emerged as being of pivotal importance for both marketing and analytics due to its unstructured data as a source of rich insights. The increasing adoption of natural language processing (NLP) technologies and solutions has created new marketing opportunities on social media. However, scholars have not devoted sufficient attention to understanding of the barriers and associated challenges of NLP solutions as a social media marketing tool, hindering the full potential of these technologies. The purpose of the paper aims to fill this void in research and practice. We employed a qualitative research approach to identify fourteen challenges and discuss the primary barrier areas: (1) credibility, (2) customization, (3) cross-modality, and (4) convergence. Based on these findings, we initiate a path of future research questions for a deeper understanding of successful adoption of NLP technologies and solutions in marketing practices on social media. Thus, the study advances research in this growing area and fosters future research across different disciplines to improve the practice of marketing in language-rich digital environments.

营销实践中的计算语言学导航:社交媒体营销中的自然语言处理障碍与未来研究之路
社交媒体因其非结构化数据作为丰富洞察力的来源,在营销和分析方面都具有举足轻重的地位。越来越多地采用自然语言处理(NLP)技术和解决方案为社交媒体创造了新的营销机会。然而,学者们对 NLP 解决方案作为社交媒体营销工具所面临的障碍和相关挑战的了解还不够,这阻碍了这些技术潜力的充分发挥。本文旨在填补这一研究和实践空白。我们采用定性研究方法确定了十四项挑战,并讨论了主要障碍领域:(1) 可信度,(2) 定制,(3) 跨模式,以及 (4) 融合。基于这些发现,我们提出了未来的研究问题,以便更深入地了解在社交媒体营销实践中成功采用 NLP 技术和解决方案的途径。因此,本研究推动了这一不断发展的领域的研究,并促进了不同学科的未来研究,以改善语言丰富的数字环境中的营销实践。
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来源期刊
CiteScore
5.40
自引率
16.70%
发文量
46
期刊介绍: Data has become the new ore in today’s knowledge economy. However, merely storing and reporting are not enough to thrive in today’s increasingly competitive markets. What is called for is the ability to make sense of all these oceans of data, and to apply those insights to the way companies approach their markets, adjust to changing market conditions, and respond to new competitors. Marketing analytics lies at the heart of this contemporary wave of data driven decision-making. Companies can no longer survive when they rely on gut instinct to make decisions. Strategic leverage of data is one of the few remaining sources of sustainable competitive advantage. New products can be copied faster than ever before. Staff are becoming less loyal as well as more mobile, and business centers themselves are moving across the globe in a world that is getting flatter and flatter. The Journal of Marketing Analytics brings together applied research and practice papers in this blossoming field. A unique blend of applied academic research, combined with insights from commercial best practices makes the Journal of Marketing Analytics a perfect companion for academics and practitioners alike. Academics can stay in touch with the latest developments in this field. Marketing analytics professionals can read about the latest trends, and cutting edge academic research in this discipline. The Journal of Marketing Analytics will feature applied research papers on topics like targeting, segmentation, big data, customer loyalty and lifecycle management, cross-selling, CRM, data quality management, multi-channel marketing, and marketing strategy. The Journal of Marketing Analytics aims to combine the rigor of carefully controlled scientific research methods with applicability of real world case studies. Our double blind review process ensures that papers are selected on their content and merits alone, selecting the best possible papers in this field.
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