---
title: A Systematic Literature Review on Sentimental Analysis using Machine Learning for Preprocessing, Feature Extraction and Classification
url: https://www.ml-quant.com/papers/ssrn/5061012/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 5061012
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5061012
featured: 2025-01-01
citations: 2
topic: LLMs & 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.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5061012
- Identifier: SSRN 5061012
- Released: 2024-12-18
- First featured: Quant Letter No. 80 (2025-01-01): https://www.ml-quant.com/issues/2025-01-01/
- Citations (Semantic Scholar): 2
- Published in: not yet
- Topic: LLMs & Text

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