SSCDV: Social media document embedding with sentiment and topics for financial market forecasting

Research article (Expert Systems with Applications, 2023) · cited 24× · AI/ML
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SSCDV: Social media document embedding with sentiment and topics for financial market forecasting

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SSCDV: Social media document embedding with sentiment and topics for financial market forecasting is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). SSCDV: Social media document embedding with sentiment and topics for financial market forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/sscdv-social-media-document-embedding-with-sentiment-and-topics-for-financial-market-forecasting
MLA “SSCDV: Social media document embedding with sentiment and topics for financial market forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sscdv-social-media-document-embedding-with-sentiment-and-topics-for-financial-market-forecasting.
BibTeX @misc{4ortxyz_sscdv-social-media-document-embedding-with-sentiment-and-topics-for-financial-market-forecasting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SSCDV: Social media document embedding with sentiment and topics for financial market forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/sscdv-social-media-document-embedding-with-sentiment-and-topics-for-financial-market-forecasting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SSCDV: Social media document embedding with sentiment and topics for financial market forecasting — https://4ort.xyz/entity/sscdv-social-media-document-embedding-with-sentiment-and-topics-for-financial-market-forecasting (retrieved 2026-05-24)

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