Journal ArticleDOI
Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis
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TLDR
A novel method that combines the Bass/Norton model and sentiment analysis while using historical sales data and online review data is developed for product sales forecasting.About:
This article is published in Journal of Business Research.The article was published on 2017-05-01. It has received 227 citations till now. The article focuses on the topics: Sentiment analysis.read more
Citations
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The impact of online user reviews on hotel room sales [Summary]
TL;DR: Wang et al. as discussed by the authors developed a fixed effect log-linear regression model to assess the influence of online reviews on the number of hotel room bookings, which indicated a significant relationship between online consumer reviews and business performance of hotels.
Journal ArticleDOI
An investigation on online reviews in sharing economy driven hospitality platforms: a viewpoint of trust.
TL;DR: In this paper, the authors investigated the effect of online review contents on potential guests' trust perceptions in AirBnB.com and found salient themes determine trust perception: host attributes positively lead to benevolence, location and room aesthetics positively affect ability, room description positively affects integrity, and location and host attributes determine overall trust perception.
Journal ArticleDOI
Applications of text mining in services management: A systematic literature review
TL;DR: The analysis highlighted that social media analysis, market analysis, competitive intelligence are the most dominant themes while other themes like risk management and fake content detection are also explored.
Journal ArticleDOI
Three-way enhanced convolutional neural networks for sentence-level sentiment classification
Yuebing Zhang,Yuebing Zhang,Zhifei Zhang,Zhifei Zhang,Duoqian Miao,Duoqian Miao,Jiaqi Wang,Jiaqi Wang +7 more
TL;DR: Inspired by the methodology of three-way decisions, a three- way enhanced convolutional neural network model named 3W-CNN is proposed which can be seen as an ensemble method which uses the enhance model to optimize convolutionAL neural networks (CNN).
Journal ArticleDOI
Forecasting tourism demand with multisource big data
TL;DR: Findings of this empirical study indicate that tourism demand forecasting based on internet big data from a search engine and online review platforms can significantly improve forecasting performance.
References
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Journal ArticleDOI
A New Product Growth for Model Consumer Durables
TL;DR: A growth model for the timing of initial purchase of new products is developed and tested empirically against data for eleven consumer durables, and a long-range forecast is developed for the sales of color television sets.
Journal ArticleDOI
Twitter mood predicts the stock market.
TL;DR: This work investigates whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time and indicates that the accuracy of DJIA predictions can be significantly improved by the inclusion of specific public mood dimensions but not others.
Book ChapterDOI
A new product growth model for consumer durables
TL;DR: In this article, a growth model for the timing of initial purchase of new products is proposed, and a behavioral rationale for the model is offered in terms of innovative and imitative behavior.
Journal ArticleDOI
The Effect of Word of Mouth on Sales: Online Book Reviews
Judith A. Chevalier,Dina Mayzlin +1 more
TL;DR: The authors examine the effect of consumer reviews on relative sales of books at Amazon.com and Barnesandnoble.com, and find that reviews are overwhelmingly positive at both sites, but there are more reviews and longer reviews at Amazon and that an improvement in a book's reviews leads to an increase in relative sales.
Journal ArticleDOI
Advertising as Information
TL;DR: In this paper, the major features of the behavior of advertising can be explained by advertising's information function, and it is shown that the most important information conveyed by advertising is simply that the brand advertises.