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 …
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 …
Identifying emerging Research and Business Development (R&BD) areas based on topic modeling and visualization with intellectual property right data
Although investments of R&D by government and firms have enlarged and the amount of
patents has increased rapidly, R&D almost fails to commercialize for various reasons. For …
patents has increased rapidly, R&D almost fails to commercialize for various reasons. For …
ETCNN: extra tree and convolutional neural network-based ensemble model for COVID-19 tweets sentiment classification
Pandemics influence people negatively and people experience fear and disappointment.
With the global outspread of COVID-19, the sentiments of the general public are …
With the global outspread of COVID-19, the sentiments of the general public are …
Feeling positive about reopening? New normal scenarios from COVID-19 US reopen sentiment analytics
The Coronavirus pandemic has created complex challenges and adverse circumstances.
This research identifies public sentiment amidst problematic socioeconomic consequences …
This research identifies public sentiment amidst problematic socioeconomic consequences …
A text analytics approach for online retailing service improvement: Evidence from Twitter
The purpose of this study is to identify the customers' primary topics of concern regarding
online retail brands that are shared among Twitter users. This study collects tweets …
online retail brands that are shared among Twitter users. This study collects tweets …
A systematic literature review of weak signal identification and evolution for corporate foresight
D Zhao, Z Tang, D He - Kybernetes, 2024 - emerald.com
Purpose With the intensification of market competition, there is a growing demand for weak
signal identification and evolutionary analysis for enterprise foresight. For decades, many …
signal identification and evolutionary analysis for enterprise foresight. For decades, many …
End-to-end LDA-based automatic weak signal detection in web news
An extremely competitive business environment requires every company to monitor its
competitors and anticipate future opportunities and risks, creating a dire need for competitive …
competitors and anticipate future opportunities and risks, creating a dire need for competitive …
Identification of topic evolution: network analytics with piecewise linear representation and word embedding
Understanding the evolutionary relationships among scientific topics and learning the
evolutionary process of innovations is a crucial issue for strategic decision makers in …
evolutionary process of innovations is a crucial issue for strategic decision makers in …
Optimised big data analytics for health and safety hazards prediction in power infrastructure operations
Forecasting imminent accidents in power infrastructure projects require a robust and
accurate prediction model to trigger a proactive strategy for risk mitigation. Unfortunately …
accurate prediction model to trigger a proactive strategy for risk mitigation. Unfortunately …