... employed a text mining approach to scrutinize textual data from social media, encompassing semantic network analysis to identify public focus, sentiment analysis to assess the emotional orientation of the public and, ultimately, topic clustering to uncover the primary reasons behind positive and negative...

... negative binomial regression Text mining Emotion lexicon Online reviews posted by customers on e-commerce platforms can facilitate informed purchase decisions for interested users (Hu et al., 2008). However, explosive growth and continuous accumulation of online reviews are overwhelming...

...-commerce. E-commerce M-commerce Augmented reality Customer satisfaction Text mining Logistic regression ARSAPs' capacity to seamlessly incorporate virtual objects into real-time environments highlights their suitability as potent tools for digital marketing and service provision (Azuma...

... rights only Band gap information extraction Photovoltaic cell Solar cell Renewable energy Text mining Academic text ChemDataExtractor Global energy consumption is expected to increase nearly 50% by 2050 as a result of economic and population growth according to the US Energy...

... Digital humanities Topic analysis Hierarchical topic modelling Text mining Information visualization Digital humanities research platform With the rapid development of information and communication technology (ICT), digitalization for the development of digital humanities has become a popular...

... 11 2020 20 11 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Health information needs Senior online community Text mining National Natural Science Foundation of China 10.13039/501100001809 71661167007 71420107026...