Anis Yazidi
Biographic Data
| ID | 4987959 |
|---|---|
| NAME | Anis Yazidi |
| GIVEN NAMES | Anis |
| FAMILY NAME | Yazidi |
| SIGNATURE | YAZIDI A |
| AFFILIATIONS | OsloMet – Oslo Metropolitan University |
| ORCID | 0000-0001-7591-1659 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The Dynamics of Hate Speech
This study investigates the dynamics of anti-Muslim hate speech within Norwegian social media during the period between 2010 and 2021. Using a dataset of more than one million comments from Twitter and Facebook, we developed a custom hate speech classifier trained on an annotated corpus of 3,277 comments in Norwegian language. We identify that despite representing a small share of the total comments, hate speech content has increased over time. I…
Grouping Interesting Patterns for Understanding Customer Behaviors
This article presents a highly efficient technique for pattern mining in the realm of customer behavior analysis, termed hybrid clustering patterns for customer behavior analysis (HCP-CBA). It leverages decomposition techniques to uncover relevant patterns by examining correlations among customer transactions within the dataset. Initially, the transaction dataset undergoes decomposition, grouping together transactions exhibiting high correlations…
No prominent works on this page.
Grouping Interesting Patterns for Understanding Customer Behaviors
This article presents a highly efficient technique for pattern mining in the realm of customer behavior analysis, termed hybrid clustering patterns for customer behavior analysis (HCP-CBA). It leverages decomposition techniques to uncover relevant patterns by examining correlations among customer transactions within the dataset. Initially, the transaction dataset undergoes decomposition, grouping together transactions exhibiting high correlations…
The Dynamics of Hate Speech
This study investigates the dynamics of anti-Muslim hate speech within Norwegian social media during the period between 2010 and 2021. Using a dataset of more than one million comments from Twitter and Facebook, we developed a custom hate speech classifier trained on an annotated corpus of 3,277 comments in Norwegian language. We identify that despite representing a small share of the total comments, hate speech content has increased over time. I…
Classifier (UML (1 work) · Computer Science (1 work) · Content (measure theory (1 work) · Content analysis (1 work) · Customer churn and segmentation (1 work) · Data science (1 work) · Digital Marketing and Social Media (1 work) · Dynamics (music (1 work) · Field (mathematics (1 work) · Hate Speech and Cyberbullying Detection (1 work)