"Consumers’ Positive and Negative Perceptions toward Airbnb: Text Mining of Consumer Experiences Posted in Online Community"

2019 ◽  
Vol 30 (2) ◽  
pp. 173-192
Author(s):  
Dong Won Yoon ◽  
Seonglim Lee
Keyword(s):  
Text Mining ◽  
Online Community ◽  
Consumer Experiences ◽  
Negative Perceptions

scholarly journals Combining Text Mining and Data Visualization Techniques to Understand Consumer Experiences of Electronic Cigarettes and Hookah in Online Forums

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Annie T. Chen ◽  
Shu-Hong Zhu ◽  
Mike Conway
Keyword(s):  
Text Mining ◽  
Data Visualization ◽  
Electronic Cigarettes ◽  
Discussion Forums ◽  
Online Forums ◽  
Textual Data ◽  
Consumer Experiences ◽  
Visualization Techniques

Our aim in this work is to apply text mining and novel visualization techniques to textual data derived from online health discussion forums in order to better understand consumers experiences and perceptions of electronic cigarettes and hookah.

scholarly journals Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach

JMIR Cancer ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. e9887 ◽  
Author(s):  
Suzan Verberne ◽  
Anika Batenburg ◽  
Remco Sanders ◽  
Mies van Eenbergen ◽  
Enny Das ◽  
...  
Keyword(s):  
Text Mining ◽  
Cancer Patients ◽  
Online Community

scholarly journals Why Do Users of Online Mental Health Communities Get Likes and Reposts: A Combination of Text Mining and Empirical Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1133
Author(s):  
Jingfang Liu ◽  
Jun Kong
Keyword(s):  
Mental Health ◽  
Text Mining ◽  
Mental Disorders ◽  
Empirical Analysis ◽  
Online Community ◽  
Information Quality ◽  
Social Experience ◽  
Adoption Model ◽  
Health Communities ◽  
Information Adoption

An online community is one of the important ways for people with mental disorders to receive assistance and obtain support. This study aims to help users with mental disorders to obtain more support and communication through online communities, and to provide community managers with the possible influence mechanisms based on the information adoption model. We obtained a total of 49,047 posts of an online mental health communities in China, over a 40-day period. Then we used a combination of text mining and empirical analysis. Topic and sentiment analysis were used to derive the key variables—the topic of posts that the users care about most, and the emotion scores contained in posts. We then constructed a theoretical model based on the information adoption model. As core independent variables of information quality, on online mental health communities, the topic of social experience in posts (0.368 ***), the topic of emotional expression (0.353 ***), and the sentiment contained in the text (0.002 *) all had significant positive relationships with the number of likes and reposts. This study found that the users of online mental health communities are more attentive to the topics of social experience and emotional expressions, while they also care about the non-linguistic information. This study highlights the importance of helping community users to post on community-related topics, and gives administrators possible ways to help users gain the communication and support they need.

scholarly journals Exploring brand associations: an innovative methodological approach

2014 ◽  
Vol 48 (5/6) ◽  
pp. 1092-1112 ◽  
Author(s):  
Belinda Crawford Camiciottoli ◽  
Silvia Ranfagni ◽  
Simone Guercini
Keyword(s):  
Text Mining ◽  
Online Community ◽  
Brand Management ◽  
Methodological Approach ◽  
Interdisciplinary Approach ◽  
Computer Assisted ◽  
Brand Associations ◽  
Content Type ◽  
Brand Association ◽  
Brand Attributes

Purpose – The purpose of this exploratory study is to propose a new methodological approach to investigate brand associations. More specifically, the study aims to show how brand associations can be identified and analysed in an online community of international consumers of fashion to determine the degree of matching with company-defined brand associations. Design/methodology/approach – The methodology is two-pronged, integrating qualitative market research techniques with quantitative text mining. It was applied to determine types and perceptions of brand associations among fashion bloggers with reference to three leading Italian fashion houses. These were then compared to brand associations found in company-generated texts to measure the degree of matching. Findings – The results showed consistent brand associations across the three brands, as well as substantial matching with company-defined brand associations. In addition, the analysis revealed the presence of distinctive brand association themes that shed further light on how brand attributes were perceived by blog participants. Practical implications – The methods described can be used by managers to identify and reinforce favourable brand associations among consumers. This knowledge can then be applied towards developing and implementing effective brand strategies. Originality/value – The authors propose an interdisciplinary approach to investigate brand associations in online communities. It incorporates text mining and computer-assisted textual analysis as techniques borrowed from the field of linguistics which have thus far seen little application in marketing studies, but can nonetheless provide important insights for strategic brand management.

scholarly journals Stopping Antidepressants and Anxiolytics as Major Concerns Reported in Online Health Communities: A Text Mining Approach

2017 ◽  
Vol 4 (4) ◽  
pp. e48 ◽  
Author(s):  
Adeline Abbe ◽  
Bruno Falissard
Keyword(s):  
Text Mining ◽  
Online Social Networks ◽  
Online Community ◽  
Self Esteem ◽  
Face To Face ◽  
Online Health Communities ◽  
Self Help ◽  
Patient Profiles ◽  
Mining Methods ◽  
Health Communities

Background Internet is a particularly dynamic way to quickly capture the perceptions of a population in real time. Complementary to traditional face-to-face communication, online social networks help patients to improve self-esteem and self-help. Objective The aim of this study was to use text mining on material from an online forum exploring patients’ concerns about treatment (antidepressants and anxiolytics). Methods Concerns about treatment were collected from discussion titles in patients’ online community related to antidepressants and anxiolytics. To examine the content of these titles automatically, we used text mining methods, such as word frequency in a document-term matrix and co-occurrence of words using a network analysis. It was thus possible to identify topics discussed on the forum. Results The forum included 2415 discussions on antidepressants and anxiolytics over a period of 3 years. After a preprocessing step, the text mining algorithm identified the 99 most frequently occurring words in titles, among which were escitalopram, withdrawal, antidepressant, venlafaxine, paroxetine, and effect. Patients’ concerns were related to antidepressant withdrawal, the need to share experience about symptoms, effects, and questions on weight gain with some drugs. Conclusions Patients’ expression on the Internet is a potential additional resource in addressing patients’ concerns about treatment. Patient profiles are close to that of patients treated in psychiatry.

Case Studies in Dementia-Related Anxiety

GeroPsych ◽  
2020 ◽  
pp. 1-6
Author(s):  
Molly Maxfield ◽  
Jennifer R. Roberts ◽  
JoAnna Dieker
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Social Withdrawal ◽  
Cognitive Status ◽  
Generalized Anxiety ◽  
Neurocognitive Disorder ◽  
High Genetic Risk ◽  
Disease Case ◽  
Negative Perceptions

Abstract. Two clients seeking neuropsychological assessment reported anxiety about their cognitive status. We review the cases to increase our understanding of factors contributing to dementia-related anxiety. Case 1 met the criteria for mild neurocognitive disorder; the client’s memory was impaired, and she had a high genetic risk for Alzheimer’s disease. The client reported anxiety about negative perceptions of quality of life among individuals diagnosed with Alzheimer’s disease. Case 2 did not meet the criteria for a neurocognitive disorder. Anxiety about this client’s cognitive status appeared attributable to generalized anxiety disorder, given his anxiety about diverse topics. Both clients reported embarrassment about forgetfulness and social withdrawal. Dementia-related anxiety is believed to be relatively common, to exist on a continuum, to have unique social implications, and to stem from various sources, necessitating differing interventions.

The Negative Consequences of Stuttering for Perceptions of Leadership Ability

2020 ◽  
pp. 1-8
Author(s):  
Virgil Zeigler-Hill ◽  
Avi Besser ◽  
Yuval Besser
Keyword(s):  
Self Esteem ◽  
Negative Association ◽  
Negative Consequences ◽  
Community Members ◽  
Perceived Leadership ◽  
Negative Perceptions ◽  
Low Levels ◽  
Perceptions Of Leadership

Abstract. The purpose of the present study was to extend previous research concerning the negative perceptions of stuttering by considering the perceived leadership ability of targets who stuttered compared with targets who did not stutter. We were also interested in the possibility that negative perceptions of the targets (i.e., low levels of self-esteem, intelligence, dominance-based status motivation, and prestige-based status motivation) would mediate the association between stuttering and a lack of perceived leadership ability as well as the possibility that manipulating the ostensible self-esteem level of the target would further moderate these associations. The results for 838 Israeli community members revealed a negative association between stuttering and perceived leadership ability that was mediated by the perceived self-esteem level and dominance-based status motivation of the target. Further, the associations between stuttering and perceptions of leadership ability were moderated by the ostensible self-esteem level of the target. Discussion focuses on the implications of these results for understanding the negative halo that surrounds stuttering.

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