Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
Using social media to predict the future: a systematic literature review
Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings,
and actions at a resolution previously unimaginable. Because user behavior on SM is a …
and actions at a resolution previously unimaginable. Because user behavior on SM is a …
Forecasting tourism demand with multisource big data
Based on internet big data from multiple sources (ie, the Baidu search engine and two
online review platforms, Ctrip and Qunar), this study forecasts tourist arrivals to Mount …
online review platforms, Ctrip and Qunar), this study forecasts tourist arrivals to Mount …
An enhanced neural network approach to person-job fit in talent recruitment
The widespread use of online recruitment services has led to an information explosion in the
job market. As a result, recruiters have to seek intelligent ways for Person-Job Fit, which is …
job market. As a result, recruiters have to seek intelligent ways for Person-Job Fit, which is …
Wearable computing for Internet of Things: A discriminant approach for human activity recognition
With the rapid development of the wireless sensor network and the continuous improvement
of its key technologies, the concept of Internet of Things has been encouraged and extended …
of its key technologies, the concept of Internet of Things has been encouraged and extended …
An autoencoder framework with attention mechanism for cross-domain recommendation
In recent years, the recommender system has been widely used in online platforms, which
can extract useful information from giant volumes of data and recommend suitable items to …
can extract useful information from giant volumes of data and recommend suitable items to …
[PDF][PDF] A novel classification approach based on Naïve Bayes for Twitter sentiment analysis
J Song, KT Kim, B Lee, S Kim… - KSII Transactions on …, 2017 - koreascience.kr
With rapid growth of web technology and dissemination of smart devices, social networking
service (SNS) is widely used. As a result, huge amount of data are generated from SNS such …
service (SNS) is widely used. As a result, huge amount of data are generated from SNS such …
Effect of psychological capital of volunteers on volunteering behavior: the chained mediation role of perceived social support and volunteer motivation
LP Xu, JB Liao, YS Wu, H Kuang - Frontiers in Psychology, 2021 - frontiersin.org
This study explored the role of perceived social support and voluntary motivation in the effect
of psychological capital of volunteers on volunteering behavior. A sample of 1,165 …
of psychological capital of volunteers on volunteering behavior. A sample of 1,165 …
[HTML][HTML] Modeling information diffusion in social networks with ordinary linear differential equations
HT Tu, TT Phan, KP Nguyen - Information Sciences, 2022 - Elsevier
Nowadays, online social networks such as Twitter, Digg, and so on have become extremely
popular thanks to the provision of unprecedented quantities of data to network users. This …
popular thanks to the provision of unprecedented quantities of data to network users. This …
Social media-based user embedding: A literature review
S Pan, T Ding - arXiv preprint arXiv:1907.00725, 2019 - arxiv.org
Automated representation learning is behind many recent success stories in machine
learning. It is often used to transfer knowledge learned from a large dataset (eg, raw text) to …
learning. It is often used to transfer knowledge learned from a large dataset (eg, raw text) to …