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Journal ArticleDOI

Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews

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TLDR
The results indicate that the proposed methodology can obtain effective analysis results with lower cost and shorter time since online reviews are publicly available and easily collected.
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This article is published in Tourism Management.The article was published on 2019-02-01. It has received 165 citations till now. The article focuses on the topics: Latent Dirichlet allocation & Plot (graphics).

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Citations
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The impact of online user reviews on hotel room sales [Summary]

Q. Ye, +2 more
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

Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand.

TL;DR: A methodology that can analyse online reviews using machine learning techniques in such a way that practitioners in the fields of tourism and destination management can understand and apply the technique to improve their attractions is developed.
Journal ArticleDOI

Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model

TL;DR: A method for modelling customer satisfaction from online reviews using an ensemble neural network based model (ENNM) and an effect-based Kano model (EKM) is proposed to measure the effects of customer sentiments toward different CSDs on customer satisfaction.
Journal ArticleDOI

Daily tourism volume forecasting for tourist attractions.

TL;DR: The proposed approach based on long short-term memory networks that can incorporate multivariate time series data, including historical tourism volume data, search engine data and weather data, is applied to forecast the daily tourism volume of Jiuzhaigou and Huangshan Mountain Area, two famous tourist attractions in China.
References
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Journal ArticleDOI

Latent dirichlet allocation

TL;DR: This work proposes a generative model for text and other collections of discrete data that generalizes or improves on several previous models including naive Bayes/unigram, mixture of unigrams, and Hofmann's aspect model.
Proceedings Article

Latent Dirichlet Allocation

TL;DR: This paper proposed a generative model for text and other collections of discrete data that generalizes or improves on several previous models including naive Bayes/unigram, mixture of unigrams, and Hof-mann's aspect model, also known as probabilistic latent semantic indexing (pLSI).
Journal ArticleDOI

An algorithm for suffix stripping

TL;DR: An algorithm for suffix stripping is described, which has been implemented as a short, fast program in BCPL, and performs slightly better than a much more elaborate system with which it has been compared.
Journal ArticleDOI

Importance-Performance Analysis

TL;DR: An easily-applied technique for measuring attribute importance and performance can further the development of effective marketing programs.
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