Hotel Selection Utilizing Online Reviews: A Novel Decision Support Model Based on Sentiment Analysis and Dl-Vikor Method

Abstract

With the considerable development of tourism market, as well as the expansion of the e-commerce platform scale, increasing tourists often prefer to select tourism products such as services or hotels online. Thus, it needs to provide an efficient decision support model for tourists to select tourism products. Online reviews based on the user experience would help tourists improve decision efficiency on tourism products. Therefore, in this study, a quantitative method for hotel selection with online reviews is proposed. First, with respect this problem with online reviews, by analyzing sentiment words in online reviews, tourists’ sentiment preferences are transformed into the format of distribution linguistic with respect to sentiment levels. Second, from a theoretical perspective, we proposed a method to determine the ideal solution and nadir solution for distribution linguistic evaluations. Next, based on the frequency of words for evaluating hotel and the distribution linguistic evaluations, the weight vector of the evaluation features is determined. Further, a novel DL-VIKOR method is developed to rank and then to select hotels. Finally, a realistic case from TripAdvisor.com for selecting hotel is used to demonstrate practically and feasibility of the proposed model.

Multiple Group Decision Making for Selecting Emergency Alternatives: A Novel Method Based on the LDWPA Operator and LD-MABAC

“…In order to measure the degree of deviation between two linguistic distribution evaluations, motivated by the distance measure developed by Liang et al [31], in the following, the definition of the distance between two linguistic distribution evaluations is presented. Definition 3.…”

“…Furthermore, taking the example in this paper again, we respectively used the LDWPA operator, the LDWA operator (Zhang et al [27]), and the method proposed by Liu et al [37] combined with the LD-MABAC method in this study to illustrate the feasibility of the methods. Additionally, we used the proposed LDWPA operator in this study combined with the LD-VIKOR (Liang et al [31]) method for solving the example. To ensure comparability of these methods, we used the same weights vector of criteria Ω = (0.45, 0.25, 0.15, 0.1, 0.05) T .…”

A Fuzzy Multi-Objective Routing Model for Managing Hazardous Materials Door-to-Door Transportation in the Road-Rail Multimodal Network With Uncertain Demand and Improved Service Level

“…Then, Pareto optimization can be carried out to generate the Pareto solutions to serve as hazardous materials transportation plans. In practical decision making, multiple group decision making [51,52] is an effective method to help the multimodal operator and the customers to accurately select a Pareto solution that most fit a given decision making situation.…”

Revealing Customer Satisfaction With Hotels Through Multi-Site Online Reviews: A Method Based on the Evidence Theory

“…Liang et al proposed a quantitative method for hotel selection. In the method, textual reviews were transformed into distribution linguistic information by using feature extraction and sentiment analysis, and a new distribution linguistic VIKOR (DL-VIKOR) decision model was developed for ranking hotels [24]. Nie et al established a semantic partitioned sentiment dictionary for determining the sentiment level of textual reviews, and proposed a hotel selection model based on the evidence theory in the context of LDAs [25].…”