看到看不见的:基于文本的自闭症谱系患者在线内容情感分析方法的实证比较

IF 2.4 4区 管理学 Q3 BUSINESS
Kuan-Chou Ko, Shian-Ko Liu, Chih-Ping Wei, Jia-Shiuan Hsieh, Ren-Han Yang
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引用次数: 1

摘要

随着人们对自闭症的认识不断提高,越来越多的组织试图调整他们的服务以适应自闭症群体的特殊需求。然而,现存的市场营销相关研究仍然有限,缺乏来自该领域的经验证据和情感测量。因此,我们探索了一种能够捕捉自闭症患者情感状态的二次研究方法。本研究旨在解决与利用在线二级数据的可行性相关的两个关键假设问题:(1)鉴于自闭症身份通常是未标记和不可见的,如何在大量非结构化在线数据中有效区分自闭症群体和神经正常人?(2) 鉴于该领域的许多研究怀疑自闭症患者的情绪处理能力,自闭症群体的在线内容是否为情绪分析提供了良好的诊断性?在我们的案例研究中,我们关注被诊断为自闭症的人,成功识别了664名自闭症患者,然后在Reddit上收集了他们的用户生成的内容。最后,我们收集了842个帖子中的9305个句子进行情绪分析。基于我们案例研究中三种内容分析方法的结果,我们推荐了一种混合方法,该方法涉及人类程序员和人工智能分析之间的合作。我们提供了关于如何实现此方法的详细过程,以及有助于评估分析结果的指标。该方法可以在数据点损失可接受的情况下显著提高编码过程的效率,解决了第一个假设问题。本文进一步表明,自闭症群体会在网络环境中提供情感信息,但在总体水平上会以不同的行为模式提供,这解决了第二个假设问题,也是鼓励未来对自闭症消费者进行实证研究以纳入情感因素的初步证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
To See the Invisible: An Empirical Comparison of Methods for Text-Based Sentiment Analysis of Online Contents From People With Autism Spectrum Condition
With the growing awareness of autism, more and more organizations tried to adapt their service offerings to the special needs of autistic groups. However, the extant relevant research in marketing is still limited, and lacks empirical evidence from the field as well as affective measures. Thus, we explore a secondary research method that is able to capture affective states of autistic people. This research aims to solve two critical assumption questions relevant to the feasibility to utilize online secondary data here: (1) How to efficiently discriminate autistic groups from neurotypical people among a huge amount of unstructured online data, given that the autistic identity is usually unlabeled and invisible? (2) Do the online contents by autistic groups provide good diagnosticity for sentiment analysis, given that many studies in this area doubted the emotional processing ability of autistic people? In our case study, we focused on people who were diagnosed with autism and successfully identified 664 autistic individuals, and then collected their user-generated content on Reddit. In the end, we collected 9305 sentences in 842 posts for sentiment analysis. Based on the results of three content analysis methods in our case study, we recommend a hybrid method that involves a collaboration between human coders and AI-enabled analysis. We provide a detailed procedure about how to implement this method, and also metrics that help to evaluate the analysis results. This method can significantly improve the efficiency of the coding process with an acceptable loss of data points, which solves the first assumption question. This paper further shows that autistic groups would provide emotional information in an online environment but in a different behavioral pattern at the aggregate level, which solves the second assumption question and is initial evidence to encourage future empirical research on autistic consumers to include emotional factors.
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来源期刊
CiteScore
6.00
自引率
6.70%
发文量
38
期刊介绍: The International Journal of Market Research is the essential professional aid for users and providers of market research. IJMR will help you to: KEEP abreast of cutting-edge developments APPLY new research approaches to your business UNDERSTAND new tools and techniques LEARN from the world’s leading research thinkers STAY at the forefront of your profession
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