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Fuzzy logic applied to opinion mining: a review
The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …
available user-generated information. Within this information, it is easy to find subjective …
Processes and methods of information fusion for ranking products based on online reviews: An overview
Over the past few years, more and more consumers have come to read online reviews when
they shop online. To support consumers' purchase decisions, many scholars focus on …
they shop online. To support consumers' purchase decisions, many scholars focus on …
COVIDSenti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis
Social media (and the world at large) have been awash with news of the COVID-19
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
[HTML][HTML] Covid-19 public sentiment insights and machine learning for tweets classification
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
[PDF][PDF] Public sentiment analysis on Twitter data during COVID-19 outbreak
The COVID-19 pandemic, is also known as the coronavirus pandemic, is an ongoing serious
global problem all over the world. The outbreak first came to light in December 2019 in …
global problem all over the world. The outbreak first came to light in December 2019 in …
Risks and opportunities to ensure equity in the application of big data research in public health
P Wesson, Y Hswen, G Valdes… - Annual review of …, 2022 - annualreviews.org
The big data revolution presents an exciting frontier to expand public health research,
broadening the scope of research and increasing the precision of answers. Despite these …
broadening the scope of research and increasing the precision of answers. Despite these …
[HTML][HTML] Big data and AI-driven product design: a survey
H Quan, S Li, C Zeng, H Wei, J Hu - Applied Sciences, 2023 - mdpi.com
As living standards improve, modern products need to meet increasingly diversified and
personalized user requirements. Traditional product design methods fall short due to their …
personalized user requirements. Traditional product design methods fall short due to their …
[HTML][HTML] A space-time framework for sentiment scope analysis in social media
The concept of scope was introduced in Social Network Analysis to assess the
authoritativeness and convincing ability of a user toward other users on one or more social …
authoritativeness and convincing ability of a user toward other users on one or more social …
[HTML][HTML] Race recognition using deep convolutional neural networks
Race recognition (RR), which has many applications such as in surveillance systems,
image/video understanding, analysis, etc., is a difficult problem to solve completely. To …
image/video understanding, analysis, etc., is a difficult problem to solve completely. To …