---
title: Predicting Salmon Prices with Deep Learning and Sentiment Analysis
url: https://www.ml-quant.com/papers/repec/eee-jocoma-v-36-y-2024-i-c-s2405851324000576/
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: RePEc:eee:jocoma:v:36:y:2024:i:c:s2405851324000576
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS2405851324000576%3Bh%3Drepec%3Aeee%3Ajocoma%3Av%3A36%3Ay%3A2024%3Ai%3Ac%3As2405851324000576
featured: 2024-12-18
citations: unknown
topic: LLMs & Text
---


# Predicting Salmon Prices with Deep Learning and Sentiment Analysis

The article discusses a study that uses deep learning models and sentiment analysis to predict salmon prices. The study found that the accuracy of predictions improved when sentiment scores from salmon-related news were included. The hybrid CNN-LSTM model performed the best in these predictions.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS2405851324000576%3Bh%3Drepec%3Aeee%3Ajocoma%3Av%3A36%3Ay%3A2024%3Ai%3Ac%3As2405851324000576
- Identifier: RePEc:eee:jocoma:v:36:y:2024:i:c:s2405851324000576
- Released: 2024-12-18
- First featured: Quant Letter No. 79 (2024-12-18): https://www.ml-quant.com/issues/2024-12-18/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: LLMs & Text

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