Sentiment analysis of online tourist reviews is playing an increasingly important role in tourism. Accurately capturing the attitudes of tourists regarding different aspects of the scenic sites or the overall polarity of their online reviews is key to tourism analysis and application. However, the performances of current document sentiment analysis methods are not satisfactory as they either neglect the topics of the document or do not consider that not all words contribute equally to the meaning of the text. In this work, we propose a bidirectional gated recurrent unit neural network model (BiGRULA) for sentiment analysis by combining a topic model (lda2vec) and an attention mechanism. Lda2vec is used to discover all the main topics of rev...
Sentiment analysis concerns the study of opinions expressed in a text. Due to the huge amount of rev...
In the era of Web 2.0, there is a huge amount of user-generated content, but the huge amount of unst...
Advances in information technology have given rise to online hotel reservation options. The user rev...
Sentiment analysis of online tourist reviews is playing an increasingly important role in tourism. A...
Tourism is a widely increasing industry and tourist reveiws plays the vital role for the people to s...
In the era of information explosion, it is difficult for people to decide on a tourist destination q...
Technology and the Internet have changed how travel is booked, the relationship between travelers an...
With the development of Web 2.0, many studies have tried to analyze tourist behavior utilizing user-...
The outbreak and spread of COVID-19 have a great impact on the tourism industry. In this paper, we f...
Tourism is a booming industry, with huge future potential for global wealth and employment. There ar...
Tourism is one of the fastest-growing industries. Many travelers book hotels and share their experie...
International audiencePurpose: Sentiment analysis is built from the information provided through tex...
Reviews about tourism products in online environments are an important data source for tourism busin...
Abstract—In the modern world, technology has a big impact on travel and tourism. Sentiment analysis ...
Sentiment classification is an important task in Natural Language Processing (NLP) area. Deep neural...
Sentiment analysis concerns the study of opinions expressed in a text. Due to the huge amount of rev...
In the era of Web 2.0, there is a huge amount of user-generated content, but the huge amount of unst...
Advances in information technology have given rise to online hotel reservation options. The user rev...
Sentiment analysis of online tourist reviews is playing an increasingly important role in tourism. A...
Tourism is a widely increasing industry and tourist reveiws plays the vital role for the people to s...
In the era of information explosion, it is difficult for people to decide on a tourist destination q...
Technology and the Internet have changed how travel is booked, the relationship between travelers an...
With the development of Web 2.0, many studies have tried to analyze tourist behavior utilizing user-...
The outbreak and spread of COVID-19 have a great impact on the tourism industry. In this paper, we f...
Tourism is a booming industry, with huge future potential for global wealth and employment. There ar...
Tourism is one of the fastest-growing industries. Many travelers book hotels and share their experie...
International audiencePurpose: Sentiment analysis is built from the information provided through tex...
Reviews about tourism products in online environments are an important data source for tourism busin...
Abstract—In the modern world, technology has a big impact on travel and tourism. Sentiment analysis ...
Sentiment classification is an important task in Natural Language Processing (NLP) area. Deep neural...
Sentiment analysis concerns the study of opinions expressed in a text. Due to the huge amount of rev...
In the era of Web 2.0, there is a huge amount of user-generated content, but the huge amount of unst...
Advances in information technology have given rise to online hotel reservation options. The user rev...