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2017
Today, tourism and hospitality consumers are not isolated anymore when making purchase decisions. Social media represent support networks that allow these consumers to tap into a vast universe of peer opinions, critiques, feedback, recommendations or warnings about specific tourism and hospitality products or services (Benckendorff et al., 2014; Hvass &
Ge, Jing +2 more
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Today, tourism and hospitality consumers are not isolated anymore when making purchase decisions. Social media represent support networks that allow these consumers to tap into a vast universe of peer opinions, critiques, feedback, recommendations or warnings about specific tourism and hospitality products or services (Benckendorff et al., 2014; Hvass &
Ge, Jing +2 more
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2012
Mobile devices play a significant part in a user’s communication methods and much data that they read and write is received and sent via mobile phones, for instance SMS messages, e-mails, Twitter tweets and social media networking feeds. One of the main goals is to make people aware of how much negative and positive content they read and ...
Chambers, L. +3 more
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Mobile devices play a significant part in a user’s communication methods and much data that they read and write is received and sent via mobile phones, for instance SMS messages, e-mails, Twitter tweets and social media networking feeds. One of the main goals is to make people aware of how much negative and positive content they read and ...
Chambers, L. +3 more
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2022
This sentiment analysis analyzes settlers' negative and apathetic comments in reaction to various media sources about the Coastal GasLink Pipeline and Wet'suwet'en land defenders. A counterargument is made against each comment using the knowledge gained from taking SOC 540.
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This sentiment analysis analyzes settlers' negative and apathetic comments in reaction to various media sources about the Coastal GasLink Pipeline and Wet'suwet'en land defenders. A counterargument is made against each comment using the knowledge gained from taking SOC 540.
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Sentiment analysis: Arabic sentiment lexicons
2017 Sensors Networks Smart and Emerging Technologies (SENSET), 2017Sentiment Analysis is the process of identifying sentiment from text written in a natural language with respect to the entity it is referring to. Sentiment lexicons are used to perform this task. Several lexicons are available to perform this task in English using WordNet.
Lama Hamandi +3 more
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Sentiment Analysis Using Sentiment Features
2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013Sentiment Analysis (SA) or opinion mining has recently become the focus of many researchers, because analysis of online text is beneficial and demanded for market research, scientific surveys from psychological and sociological perspective, political polls, business intelligence, enhancement of online shopping infrastructures, etc.
Seyed Ali Bahrainian, Andreas Dengel
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A survey of multimodal sentiment analysis
Image and Vision Computing, 2017Abstract Sentiment analysis aims to automatically uncover the underlying attitude that we hold towards an entity. The aggregation of these sentiment over a population represents opinion polling and has numerous applications. Current text-based sentiment analysis rely on the construction of dictionaries and machine learning models that learn sentiment
Maja Pantic +8 more
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Sentiment Embeddings with Applications to Sentiment Analysis
IEEE Transactions on Knowledge and Data Engineering, 2016We propose learning sentiment-specific word embeddings dubbed sentiment embeddings in this paper. Existing word embedding learning algorithms typically only use the contexts of words but ignore the sentiment of texts. It is problematic for sentiment analysis because the words with similar contexts but opposite sentiment polarity, such as good and ...
Ting Liu +5 more
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Lexicon-based sentiment analysis by mapping conveyed sentiment to intended sentiment
International Journal of Web Engineering and Technology, 2014As consumers nowadays generate increasingly more content describing their experiences with, e.g., products and brands in various languages, information systems monitoring a universal, language-independent measure of people's intended sentiment are crucial for today's businesses.
Alexander Hogenboom +5 more
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2015
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis.
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Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis.
openaire +1 more source
Metabolomics in cancer research and emerging applications in clinical oncology
Ca-A Cancer Journal for Clinicians, 2021Daniel R Schmidt +2 more
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