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Harvesting social media sentiment analysis to enhance stock market prediction using deep learning

Research article (PeerJ Computer Science, 2021) · cited 149× · AI/ML
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Harvesting social media sentiment analysis to enhance stock market prediction using deep learning

Summary

Harvesting social media sentiment analysis to enhance stock market prediction using deep learning is a scholarly article[1].

Key Facts

  • Harvesting social media sentiment analysis to enhance stock market prediction using deep learning's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Harvesting social media sentiment analysis to enhance stock market prediction using deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/harvesting-social-media-sentiment-analysis-to-enhance-stock-market-prediction-using-deep-learning
MLA “Harvesting social media sentiment analysis to enhance stock market prediction using deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/harvesting-social-media-sentiment-analysis-to-enhance-stock-market-prediction-using-deep-learning.
BibTeX @misc{4ortxyz_harvesting-social-media-sentiment-analysis-to-enhance-stock-market-prediction-using-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Harvesting social media sentiment analysis to enhance stock market prediction using deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/harvesting-social-media-sentiment-analysis-to-enhance-stock-market-prediction-using-deep-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Harvesting social media sentiment analysis to enhance stock market prediction using deep learning — https://4ort.xyz/entity/harvesting-social-media-sentiment-analysis-to-enhance-stock-market-prediction-using-deep-learning (retrieved 2026-05-24)

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