Starting from the online reviews associated with an overall rating, the aim is to propose a methodology for detecting the main aspects (or topics) of interest for users, and afterwards to estimate the aspect ratings latently assigned in each review jointly with the weight or emphasis put on each aspect
AbstractThis paper proposes a platform for extraction and summarizing of opinions expressed by users...
The aim of the thesis is to determine whether online User-Generated Content (UGC) within the lodging...
In popular applications such as e-commerce sites and social media, users provide online reviews giv...
Reviews about tourism products in online environments are an important data source for tourism busi...
This work proposes an extension of Bing Liu's aspect-based opinion mining approach in order to apply...
Reviews about tourism products in online environments are an important data source for tourism busin...
The explosion of content generated by users, in parallel with the spectacular growth of social media...
AbstractIn this study we extend Bing Liu's aspect-based opinion mining technique to apply it to the ...
Online reviews represent one of the basic functionalities implemented under the Web 2.0 concept. Imp...
In the tourism sector, online tourist reviews analysis is one of the methods to evaluate the product...
In the tourism sector, online tourist reviews analysis is one of the methods to evaluate the product...
To increase the competitiveness the hotels have to satisfy their guests’ requirements, anticipate th...
In this study we extend Bing Liu’s aspect-based opinion mining technique to apply it to the tourism ...
Tourism managers are increasingly turning to the online sphere to gain relevant customer insights. H...
The hospitality industry is the most blooming industries in today's date. Around 710 million interna...
AbstractThis paper proposes a platform for extraction and summarizing of opinions expressed by users...
The aim of the thesis is to determine whether online User-Generated Content (UGC) within the lodging...
In popular applications such as e-commerce sites and social media, users provide online reviews giv...
Reviews about tourism products in online environments are an important data source for tourism busi...
This work proposes an extension of Bing Liu's aspect-based opinion mining approach in order to apply...
Reviews about tourism products in online environments are an important data source for tourism busin...
The explosion of content generated by users, in parallel with the spectacular growth of social media...
AbstractIn this study we extend Bing Liu's aspect-based opinion mining technique to apply it to the ...
Online reviews represent one of the basic functionalities implemented under the Web 2.0 concept. Imp...
In the tourism sector, online tourist reviews analysis is one of the methods to evaluate the product...
In the tourism sector, online tourist reviews analysis is one of the methods to evaluate the product...
To increase the competitiveness the hotels have to satisfy their guests’ requirements, anticipate th...
In this study we extend Bing Liu’s aspect-based opinion mining technique to apply it to the tourism ...
Tourism managers are increasingly turning to the online sphere to gain relevant customer insights. H...
The hospitality industry is the most blooming industries in today's date. Around 710 million interna...
AbstractThis paper proposes a platform for extraction and summarizing of opinions expressed by users...
The aim of the thesis is to determine whether online User-Generated Content (UGC) within the lodging...
In popular applications such as e-commerce sites and social media, users provide online reviews giv...