---
title: Topic-Centric Sentiment Analysis with Machine Learning
url: https://www.ml-quant.com/papers/ssrn/5072186/
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 5072186
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5072186
featured: 2025-01-01
citations: unknown
topic: LLMs & Text
---


# Topic-Centric Sentiment Analysis with Machine Learning

The article discusses the use of machine learning techniques like topic modeling and LDA for sentiment analysis, and their role in data-driven decision making.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5072186
- Identifier: SSRN 5072186
- Released: 2024-10-04
- First featured: Quant Letter No. 80 (2025-01-01): https://www.ml-quant.com/issues/2025-01-01/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: LLMs & Text

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