Content Analysis of Negative Online Reviews of Hospice Agencies in the United States
Sign Up to like & getrecommendations! Published in 2020 at "JAMA network open"
DOI: 10.1001/jamanetworkopen.2019.21130
Abstract: IMPORTANCE As online reviews of health care become increasingly integral to patient decision-making, understanding their content can help health care practices identify and address patient concerns. OBJECTIVE To identify the most frequently cited complaints in… read more here.
Keywords: hospice agencies; profit; online reviews; hospice ... See more keywords
Veni, vidi, vici? On the rise of scrape‐and‐report scholarship in online reviews research
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DOI: 10.1002/asi.24729
Abstract: JASIST has in recent years received many submissions reporting data analytics based on “Big Data” of online reviews scraped from various platforms. By outlining major issues in this type of scape‐and‐report scholarship and providing a… read more here.
Keywords: vidi vici; online reviews; veni vidi; report scholarship ... See more keywords
Quantifier Guided Aggregation for the Veracity Assessment of Online Reviews
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DOI: 10.1002/int.21844
Abstract: The Social Web is characterized by a massive diffusion of unfiltered content, directly generated by users via the spread of different social media platforms. In this context, a challenging issue is to assess the veracity… read more here.
Keywords: aggregation; machine learning; quantifier guided; online reviews ... See more keywords
Data and text mining from online reviews: An automatic literature analysis
Sign Up to like & getrecommendations! Published in 2022 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1448
Abstract: This paper reports on a thorough analysis of the scientific literature using data and text mining to uncover knowledge from online reviews due to their importance as user‐generated content. In this context, more than 12,000… read more here.
Keywords: online reviews; text mining; data text; analysis ... See more keywords
Getting to the Bottom of Patient Experiences with Genital Gender Affirmation Surgery: A Qualitative Analysis of Online Reviews
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DOI: 10.1007/s00266-021-02150-5
Abstract: Background Patients undergoing gender-affirming surgery seek information from online sources including online reviews written by peers. We aimed to conduct a qualitative analysis of the information discussed in online reviews related to genital gender-affirming surgery… read more here.
Keywords: surgery; online reviews; analysis; gender ... See more keywords
Product sales forecasting using macroeconomic indicators and online reviews: a method combining prospect theory and sentiment analysis
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DOI: 10.1007/s00500-018-03742-1
Abstract: Macroeconomic conditions and users’ word of mouth have significant impacts on the purchase decisions of consumers, and they can be potentially used to conduct better sales forecasts, but study on this aspect is relatively scarce.… read more here.
Keywords: online reviews; macroeconomic indicators; product sales; indicators online ... See more keywords
User-aware topic modeling of online reviews
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DOI: 10.1007/s00530-017-0557-6
Abstract: The online reviews are one type of social media which are opinions generated by the users to comment on some special items. Since the sentiments are dependent on topics, probabilistic topic models have been widely… read more here.
Keywords: user; online reviews; sentiment; user aware ... See more keywords
Double learning or double blinding: an investigation of vendor private information acquisition and consumer learning via online reviews
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DOI: 10.1007/s10479-016-2243-z
Abstract: In this paper, building upon information acquisition theory and using portfolio methods and system equations, we made an empirical investigation into how online vendors and consumers are learning from each other, and how online reviews,… read more here.
Keywords: information; online reviews; private information; consumer ... See more keywords
Sentiment classification and computing for online reviews by a hybrid SVM and LSA based approach
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DOI: 10.1007/s10586-017-1693-7
Abstract: For the current online reviews sentiment classification method, there are some problems such as serious text sparseness and coarse granularity of sentiment calculation. In this paper, the emotion in online reviews is divided into four… read more here.
Keywords: sentiment classification; emotion; approach; online reviews ... See more keywords
The relationship analysis between online reviews and online shopping based on B2C platform technology
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DOI: 10.1007/s10586-018-2182-3
Abstract: With the continuous development of e-commerce technology, the online shopping volume of Chinese consumers has been increasing year by year,which will rapid development in the future. The emergence of B2C platform allows consumers to exchange… read more here.
Keywords: online reviews; online shopping; technology; b2c platform ... See more keywords
Finding users preferences from large-scale online reviews for personalized recommendation
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DOI: 10.1007/s10660-016-9240-9
Abstract: Along with the growth of Internet and electronic commerce, online consumer reviews have become a prevalent and rich source of information for both consumers and merchants. Numerous reviews record massive consumers’ opinions on products or… read more here.
Keywords: finding users; recommendation; online reviews; users preferences ... See more keywords