Qianlong Wang
Biographic Data
| ID | 10054665 |
|---|---|
| NAME | Qianlong Wang |
| GIVEN NAMES | Qianlong |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Q |
| AFFILIATIONS | Case Western Reserve University |
| ORCID | 0000-0002-3011-0580 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A Literature Survey on Multimodal and Multilingual Sexism Detection
Sexism has become a pressing issue, driven by the rapid-spreading influence of societal norms, media portrayals, and online platforms that perpetuate and amplify gender biases. Curbing sexism has emerged as a critical challenge globally. Being capable of recognizing sexist statements and behaviors is of particular importance since it is the first step in mind change. This survey provides an extensive overview of recent advancements in sexism dete…
Lcsep
In this article, we present our work in social emotion prediction to online trending topics. While most prior works focus on emotion from writers or the readers’ emotions evoked by news articles, we investigate discussions from massive social media users and explore the public feelings to the online trending topic. We employ user-generated “#hashtags” to indicate online trending topics and construct a large-scale Chinese dataset for social emotio…
Community Detection in Online Social Networks
Community detection is an effective approach to unveil relationships among individuals in online social networks. In the literature, quite a few algorithms have been proposed to conduct community detection by exploiting the topology of social networks and the attributes of social actors. In practice, community detection is usually conducted by third parties, such as advertisement companies and hospitals, with access to social networks for differe…
No prominent works on this page.
Community Detection in Online Social Networks
Community detection is an effective approach to unveil relationships among individuals in online social networks. In the literature, quite a few algorithms have been proposed to conduct community detection by exploiting the topology of social networks and the attributes of social actors. In practice, community detection is usually conducted by third parties, such as advertisement companies and hospitals, with access to social networks for differe…
Lcsep
In this article, we present our work in social emotion prediction to online trending topics. While most prior works focus on emotion from writers or the readers’ emotions evoked by news articles, we investigate discussions from massive social media users and explore the public feelings to the online trending topic. We employ user-generated “#hashtags” to indicate online trending topics and construct a large-scale Chinese dataset for social emotio…
A Literature Survey on Multimodal and Multilingual Sexism Detection
Sexism has become a pressing issue, driven by the rapid-spreading influence of societal norms, media portrayals, and online platforms that perpetuate and amplify gender biases. Curbing sexism has emerged as a critical challenge globally. Being capable of recognizing sexist statements and behaviors is of particular importance since it is the first step in mind change. This survey provides an extensive overview of recent advancements in sexism dete…
Artificial Intelligence (3 works) · Computer Science (3 works) · Data science (3 works) · Computer security (2 works) · Information retrieval (2 works) · Natural language processing (2 works) · Social media (2 works) · World Wide Web (2 works) · Advanced Text Analysis Techniques (1 work) · Complex Network Analysis Techniques (1 work)