Over a decade of social opinion mining: a systematic review
Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …
types of social interaction across multiple channels. This systematic review focuses on the …
SpanEmo: Casting multi-label emotion classification as span-prediction
H Alhuzali, S Ananiadou - arXiv preprint arXiv:2101.10038, 2021 - arxiv.org
Emotion recognition (ER) is an important task in Natural Language Processing (NLP), due to
its high impact in real-world applications from health and well-being to author profiling …
its high impact in real-world applications from health and well-being to author profiling …
Emotion cause detection with linguistic construction in chinese weibo text
To identify the cause of emotion is a new challenge for researchers in nature language
processing. Currently, there is no existing works on emotion cause detection from Chinese …
processing. Currently, there is no existing works on emotion cause detection from Chinese …
Distinct dimensions of emotion in the human brain and their representation on the cortical surface
N Koide-Majima, T Nakai, S Nishimoto - NeuroImage, 2020 - Elsevier
We experience a rich variety of emotions in daily life, and a fundamental goal of affective
neuroscience is to determine how these emotions are represented in the brain. Recent …
neuroscience is to determine how these emotions are represented in the brain. Recent …
Compositional recurrent neural networks for chinese short text classification
Y Zhou, B Xu, J Xu, L Yang, C Li - 2016 IEEE/WIC/ACM …, 2016 - ieeexplore.ieee.org
Word segmentation is the first step in Chinese natural language processing, and the error
caused by word segmentation can be transmitted to the whole system. In order to reduce the …
caused by word segmentation can be transmitted to the whole system. In order to reduce the …
Discrete emotion synchronicity and video engagement on social media: A moment-to-moment analysis
Although previous studies have identified several discrete emotion features that drive video
diffusion on social media, little research has viewed the video consumption experience as a …
diffusion on social media, little research has viewed the video consumption experience as a …
Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity
Background Semantic textual similarity (STS) is a fundamental natural language processing
(NLP) task which can be widely used in many NLP applications such as Question Answer …
(NLP) task which can be widely used in many NLP applications such as Question Answer …
Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog
As a new form of social media, microblogging provides platform sharing, wherein users can
share their feelings and ideas on certain topics. Bursty topics from microblogs are the results …
share their feelings and ideas on certain topics. Bursty topics from microblogs are the results …
Improving Textual Emotion Recognition Based on Intra-and Inter-Class Variations
H Alhuzali, S Ananiadou - IEEE Transactions on Affective …, 2021 - ieeexplore.ieee.org
Textual Emotion Recognition (TER) is an important task in Natural Language Processing
(NLP), due to its high impact in real-world applications. Prior research has tackled the …
(NLP), due to its high impact in real-world applications. Prior research has tackled the …
[PDF][PDF] Estimating user location in social media with stacked denoising auto-encoders
J Liu, D Inkpen - Proceedings of the 1st Workshop on Vector …, 2015 - aclanthology.org
Only very few users disclose their physical locations, which may be valuable and useful in
applications such as marketing and security monitoring; in order to automatically detect their …
applications such as marketing and security monitoring; in order to automatically detect their …