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Booking. com: The unexpected scoring system
Academic researchers in the hospitality industry found in Booking. com an excellent source
of information, as it collects millions of hotel reviews in a rapid, inexpensive and convenient …
of information, as it collects millions of hotel reviews in a rapid, inexpensive and convenient …
An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews
Finding a suitable hotel based on user's need and affordability is a complex decision-
making process. Nowadays, the availability of an ample amount of online reviews made by …
making process. Nowadays, the availability of an ample amount of online reviews made by …
An intelligent recommendation system in e-commerce using ensemble learning
A Shankar, P Perumal, M Subramanian… - Multimedia Tools and …, 2024 - Springer
In today's world, recommendation systems play a vital role in customer analysis on social
media, online businesses, e-commerce, etc. There are multiple sources of information on the …
media, online businesses, e-commerce, etc. There are multiple sources of information on the …
A review of deep learning models for Twitter sentiment analysis: Challenges and opportunities
Microblogging site Twitter (re-branded to X since July 2023) is one of the most influential
online social media websites, which offers a platform for the masses to communicate …
online social media websites, which offers a platform for the masses to communicate …
Tourism mobile app with aspect-based sentiment classification framework for tourist reviews
Tourist reviews are information sources for travelers to know about tourist places.
Unfortunately, some reviews are irrelevant and become noisy data. Aspect-based sentiment …
Unfortunately, some reviews are irrelevant and become noisy data. Aspect-based sentiment …
[PDF][PDF] A study and comparison of sentiment analysis methods for reputation evaluation
A Collomb, C Costea, D Joyeux, O Hasan… - Rapport de recherche RR …, 2014 - liris.cnrs.fr
The aim of this paper is to study and compare some of the methods used to evaluate the
reputation of items using sentiment analysis. We explain the challenge of the increasing …
reputation of items using sentiment analysis. We explain the challenge of the increasing …
Growth of a platform business model as an entrepreneurial ecosystem and its effects on regional development
This paper analyses the dynamics of platform business models as an entrepreneurial
ecosystem and its effects on regional development. Here, we seek to answer the following …
ecosystem and its effects on regional development. Here, we seek to answer the following …
An influence framework on product word-of-mouth (WoM) measurement
With the development of e-commerce platforms, online customer reviews have become an
important instrument for providing product word-of-mouth (WoM) information. Analyzing and …
important instrument for providing product word-of-mouth (WoM) information. Analyzing and …
Effects of crowdvoting on hotels: the Booking. com case
Purpose This paper aims to define and demonstrate the importance of crowdsourcing for the
improvement of diverse functions of hotels, the advantages and disadvantages of this …
improvement of diverse functions of hotels, the advantages and disadvantages of this …
Sentiment analysis in Twitter based on knowledge graph and deep learning classification
The traditional way to address the problem of sentiment classification is based on machine
learning techniques; however, these models are not able to grasp all the richness of the text …
learning techniques; however, these models are not able to grasp all the richness of the text …