Stance detection on social media: State of the art and trends
Stance detection on social media is an emerging opinion mining paradigm for various social
and political applications in which sentiment analysis may be sub-optimal. There has been a …
and political applications in which sentiment analysis may be sub-optimal. There has been a …
Zero-shot stance detection: A dataset and model using generalized topic representations
Stance detection is an important component of understanding hidden influences in everyday
life. Since there are thousands of potential topics to take a stance on, most with little to no …
life. Since there are thousands of potential topics to take a stance on, most with little to no …
Big data ML-based fake news detection using distributed learning
A Altheneyan, A Alhadlaq - IEEE Access, 2023 - ieeexplore.ieee.org
Users rely heavily on social media to consume and share news, facilitating the mass dis-
semination of genuine and fake stories. The proliferation of misinformation on various social …
semination of genuine and fake stories. The proliferation of misinformation on various social …
A survey on opinion mining: From stance to product aspect
With the prevalence of social media and online forum, opinion mining, aiming at analyzing
and discovering the latent opinion in user-generated reviews on the Internet, has become a …
and discovering the latent opinion in user-generated reviews on the Internet, has become a …
Exploiting sentiment and common sense for zero-shot stance detection
The stance detection task aims to classify the stance toward given documents and topics.
Since the topics can be implicit in documents and unseen in training data for zero-shot …
Since the topics can be implicit in documents and unseen in training data for zero-shot …
On learning and representing social meaning in NLP: a sociolinguistic perspective
The field of NLP has made substantial progress in building meaning representations.
However, an important aspect of linguistic meaning, social meaning, has been largely …
However, an important aspect of linguistic meaning, social meaning, has been largely …
Modeling content and context with deep relational learning
ML Pacheco, D Goldwasser - Transactions of the Association for …, 2021 - direct.mit.edu
Building models for realistic natural language tasks requires dealing with long texts and
accounting for complicated structural dependencies. Neural-symbolic representations have …
accounting for complicated structural dependencies. Neural-symbolic representations have …
Stance detection for online public opinion awareness: An overview
R Cao, X Luo, Y Xi, Y Qiao - International Journal of Intelligent …, 2022 - Wiley Online Library
Stance detection, which focuses on users' deep attitudes, is an important way to understand
the online public opinion. This paper presents an overview of stance detection. First, we …
the online public opinion. This paper presents an overview of stance detection. First, we …
[HTML][HTML] HeadlineStanceChecker: Exploiting summarization to detect headline disinformation
The headline of a news article is designed to succinctly summarize its content, providing the
reader with a clear understanding of the news item. Unfortunately, in the post-truth era …
reader with a clear understanding of the news item. Unfortunately, in the post-truth era …