SSRNLLMs & Text
A Systematic Literature Review on Sentimental Analysis using Machine Learning for Preprocessing, Feature Extraction and Classification
The study reviews sentiment analysis methods in Natural Language Processing, covering data collection, preprocessing, feature extraction, and classification.
Featured in No. 80 on 1 Jan 2025 · 14 days after release · 2 citations today
- Released
- 18 Dec 2024
- First featured
- No. 80 · 1 Jan 2025
- Citations (Semantic Scholar)
- 2
- Influential citations
- 0
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 64
- Identifier
- SSRN 5061012
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).