Opinion mining from online hotel reviews–a text summarization approach
YH Hu, YL Chen, HL Chou - Information Processing & Management, 2017 - Elsevier
Online travel forums and social networks have become the most popular platform for sharing
travel information, with enormous numbers of reviews posted daily. Automatically generated …
travel information, with enormous numbers of reviews posted daily. Automatically generated …
Improving text summarization of online hotel reviews with review helpfulness and sentiment
The considerable volume of online reviews for today's hotels are is difficult for review
readers to manually process. Automatic review summarizations are a promising direction for …
readers to manually process. Automatic review summarizations are a promising direction for …
[HTML][HTML] A survey on opinion summarization techniques for social media
The volume of data on the social media is huge and even keeps increasing. The need for
efficient processing of this extensive information resulted in increasing research interest in …
efficient processing of this extensive information resulted in increasing research interest in …
A survey on abstractive text summarization
N Moratanch, S Chitrakala - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Text Summarization is the task of extracting salient information from the original text
document. In this process, the extracted information is generated as a condensed report and …
document. In this process, the extracted information is generated as a condensed report and …
Towards a social and context-aware mobile recommendation system for tourism
R Colomo-Palacios, FJ García-Peñalvo… - Pervasive and Mobile …, 2017 - Elsevier
Loyalty in tourism is one of the main concerns for tourist organizations and researchers
alike. Recently, technology in general and CRM and social networks in particular have been …
alike. Recently, technology in general and CRM and social networks in particular have been …
[HTML][HTML] A hybrid deep learning architecture for opinion-oriented multi-document summarization based on multi-feature fusion
Opinion summarization is a process to produce concise summaries from a large number of
opinionated texts. In this paper, we present a novel deep-learning-based method for the …
opinionated texts. In this paper, we present a novel deep-learning-based method for the …
Machine learning-based multi-documents sentiment-oriented summarization using linguistic treatment
Sentiment summarization is the process of automatically creating a compressed version of
the opinionated information expressed in a text. This paper presents a machine learning …
the opinionated information expressed in a text. This paper presents a machine learning …
[图书][B] Social data analytics
This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …
QMOS: Query-based multi-documents opinion-oriented summarization
Sentiment analysis concerns the study of opinions expressed in a text. This paper presents
the QMOS method, which employs a combination of sentiment analysis and summarization …
the QMOS method, which employs a combination of sentiment analysis and summarization …
Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques
Sentiment Summarization is an automated technology that extracts important features of
sentences and then reorganizes selected words or sentences by their aspect class and …
sentences and then reorganizes selected words or sentences by their aspect class and …