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A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data
Research article (2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), 2021) · cited 21× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-methodology-for-stock-movement-prediction-using-sentiment-analysis-on-twitter-and-stocktwits-data
MLA“A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-methodology-for-stock-movement-prediction-using-sentiment-analysis-on-twitter-and-stocktwits-data.
BibTeX@misc{4ortxyz_a-methodology-for-stock-movement-prediction-using-sentiment-analysis-on-twitter-and-stocktwits-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data}}, year = {2026}, url = {https://4ort.xyz/entity/a-methodology-for-stock-movement-prediction-using-sentiment-analysis-on-twitter-and-stocktwits-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data — https://4ort.xyz/entity/a-methodology-for-stock-movement-prediction-using-sentiment-analysis-on-twitter-and-stocktwits-data (retrieved 2026-05-24)