Review of social media analytics process and big data pipeline
Social media analytics is a research axis focused on extracting useful insights from social
media data, with the aim of helping individuals and organizations take the most optimum …
media data, with the aim of helping individuals and organizations take the most optimum …
Saliency estimation using a non-parametric low-level vision model
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
Unsupervised method for sentiment analysis in online texts
M Fernández-Gavilanes, T Álvarez-López… - Expert Systems with …, 2016 - Elsevier
In recent years, the explosive growth of online media, such as blogs and social networking
sites, has enabled individuals and organizations to write about their personal experiences …
sites, has enabled individuals and organizations to write about their personal experiences …
Understanding the predictive power of social media
Purpose–The purpose of this paper is to consolidate existing knowledge and provide a
deeper understanding of the use of social media (SM) data for predictions in various areas …
deeper understanding of the use of social media (SM) data for predictions in various areas …
Twitter mining for discovery, prediction and causality: Applications and methodologies
DE O'Leary - Intelligent Systems in Accounting, Finance and …, 2015 - Wiley Online Library
Twitter has found substantial use in a number of settings. For example, Twitter played a
major role in the 'Arab Spring'and has been adopted by a large number of the Fortune 100 …
major role in the 'Arab Spring'and has been adopted by a large number of the Fortune 100 …
[图书][B] Politics and big data: Nowcasting and forecasting elections with social media
The importance of social media as a way to monitor an electoral campaign is well
established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and …
established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and …
Social media and e-commerce: A scientometrics analysis
E Javid, M Nazari, M Ghaeli - International Journal of Data and …, 2019 - growingscience.com
The purpose of this research is to investigate the status and the evolution of the scientific
studies on the effect of social networks on e-commerce. The study seeks to address the …
studies on the effect of social networks on e-commerce. The study seeks to address the …
A survey of prediction using social media
S Yu, S Kak - arXiv preprint arXiv:1203.1647, 2012 - arxiv.org
Social media comprises interactive applications and platforms for creating, sharing and
exchange of user-generated contents. The past ten years have brought huge growth in …
exchange of user-generated contents. The past ten years have brought huge growth in …
Predicting movie box-office revenues by exploiting large-scale social media content
Predicting the box-office revenue of a movie before its theatrical release is an important but
challenging problem that requires a high level of Artificial Intelligence. Nowadays, social …
challenging problem that requires a high level of Artificial Intelligence. Nowadays, social …
[HTML][HTML] On the use of distributed semantics of tweet metadata for user age prediction
A Pandya, M Oussalah, P Monachesi… - Future Generation …, 2020 - Elsevier
Social media data represent an important resource for behavioral analysis of the aging
population. This paper addresses the problem of age prediction from Twitter dataset, where …
population. This paper addresses the problem of age prediction from Twitter dataset, where …