A survey on information diffusion in online social networks: Models and methods

M Li, X Wang, K Gao, S Zhang - Information, 2017 - mdpi.com
By now, personal life has been invaded by online social networks (OSNs) everywhere. They
intend to move more and more offline lives to online social networks. Therefore, online …

Multilingual sentiment analysis: from formal to informal and scarce resource languages

SL Lo, E Cambria, R Chiong, D Cornforth - Artificial Intelligence Review, 2017 - Springer
The ability to analyse online user-generated content related to sentiments (eg, thoughts and
opinions) on products or policies has become a de-facto skillset for many companies and …

Facebook sentiment: Reactions and emojis

Y Tian, T Galery, G Dulcinati… - Proceedings of the fifth …, 2017 - aclanthology.org
Emojis are used frequently in social media. A widely assumed view is that emojis express
the emotional state of the user, which has led to research focusing on the expressiveness of …

Detecting stress based on social interactions in social networks

H Lin, J Jia, J Qiu, Y Zhang, G Shen… - … on Knowledge and …, 2017 - ieeexplore.ieee.org
Psychological stress is threatening people's health. It is non-trivial to detect stress timely for
proactive care. With the popularity of social media, people are used to sharing their daily …

Social collaborative viewpoint regression with explainable recommendations

Z Ren, S Liang, P Li, S Wang, M de Rijke - Proceedings of the tenth ACM …, 2017 - dl.acm.org
A recommendation is called explainable if it not only predicts a numerical rating for an item,
but also generates explanations for users' preferences. Most existing methods for …

Untangling emoji popularity through semantic embeddings

W Ai, X Lu, X Liu, N Wang, G Huang… - Proceedings of the …, 2017 - ojs.aaai.org
Emojis have gone viral on the Internet across platforms and devices. Interwoven into our
daily communications, they have become a ubiquitous new language. However, little has …

Multi-channel LSTM-CNN model for Vietnamese sentiment analysis

QH Vo, HT Nguyen, B Le… - 2017 9th international …, 2017 - ieeexplore.ieee.org
Convolutional neural network (CNN) and Long Short Term Memory (LSTM) have shown the
state of the art results for sentiment analysis in English corpus. However, there are not many …

Distantly supervised lifelong learning for large-scale social media sentiment analysis

R Xia, J Jiang, H He - IEEE Transactions on Affective …, 2017 - ieeexplore.ieee.org
Although sentiment analysis on traditional online texts has been studied in depth, sentiment
analysis for social media texts is still a challenging research direction. In the social media …

[PDF][PDF] Through a gender lens: An empirical study of emoji usage over large-scale android users

Z Chen, X Lu, S Shen, W Ai, X Liu… - arXiv preprint arXiv …, 2017 - researchgate.net
Emojis have gained incredible popularity in recent years and become a new ubiquitous
language for Computer-Mediated Communication (CMC) by worldwide users. Various …

Automatic construction of an emoji sentiment lexicon

M Kimura, M Katsurai - Proceedings of the 2017 IEEE/ACM international …, 2017 - dl.acm.org
Emojis have been frequently used to express users' sentiments, emotions, and feelings in
text-based communication. To facilitate sentiment analysis of users' posts, an emoji …