Project description. Project 1: Document-to-Topic Classification
- Cleaned text, converted to numerical form with TfidfVectorizer.
- Measured relevance using Cosine Similarity.
- Visualized with matplotlib.
- Built a Tkinter GUI.
Project 2: Sentence Comparison
- Cleaned text, used BERT for similarity analysis.
- Calculated similarity and built a Tkinter GUI.
Outcomes:
Identified document relevance and sentence similarities.
| اسم المستقل | Mustafa M. |
| عدد الإعجابات | 1 |
| عدد المشاهدات | 16 |
| تاريخ الإضافة |
