Predicting stock movement using sentiment analysis of Twitter feed

Research article (2017 6th International Conference on Informatics, Electronics and Vision & 2017 7th International Symposium in Computational Medical and Health Technology (ICIEV-ISCMHT), 2017) · cited 26× · AI/ML

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Predicting stock movement using sentiment analysis of Twitter feed

Summary

Predicting stock movement using sentiment analysis of Twitter feed is a scholarly article^[1].

Key Facts

Predicting stock movement using sentiment analysis of Twitter feed's instance of is recorded as scholarly article^[2].

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Instance of scholarly article

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Authored by 4

Mahbub Majumdar, Md Rashad Al Hasan Rony, Pranjal Chakraborty, Ummay Sani Pria

← Author of 4

Mahbub Majumdar, Md Rashad Al Hasan Rony, Pranjal Chakraborty, Ummay Sani Pria

References

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Direct Wikidata claims

[2] ↑ Predicting stock movement using sentiment analysis of Twitter feed — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Predicting stock movement using sentiment analysis of Twitter feed is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA

4ort.xyz Knowledge Graph. (2026). Predicting stock movement using sentiment analysis of Twitter feed. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-stock-movement-using-sentiment-analysis-of-twitter-feed

MLA

“Predicting stock movement using sentiment analysis of Twitter feed.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-stock-movement-using-sentiment-analysis-of-twitter-feed.

BibTeX

@misc{4ortxyz_predicting-stock-movement-using-sentiment-analysis-of-twitter-feed_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting stock movement using sentiment analysis of Twitter feed}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-stock-movement-using-sentiment-analysis-of-twitter-feed}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting stock movement using sentiment analysis of Twitter feed — https://4ort.xyz/entity/predicting-stock-movement-using-sentiment-analysis-of-twitter-feed (retrieved 2026-05-24)

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