Comparative Analysis of NLP Techniques for Hate Speech Classification in Online Communications
This research aimed to compare the effectiveness of two Natural Language Processing (NLP) techniques—SpaCy's word embeddings and Sklearn's TF-IDF vectorization—in identifying hate speech within online comments. Utilizing a balanced dataset, each model was meticulously assessed on its abil...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Islam Raden Rahmat
2024-01-01
|
| Series: | G-Tech |
| Subjects: | |
| Online Access: | https://ejournal.uniramalang.ac.id/index.php/g-tech/article/view/3959 |