Analyzing Twitter sentiments through big data

Research article (International Conference on Computing for Sustainable Global Development, 2016) · cited 37× · AI/ML

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Analyzing Twitter sentiments through big data

Summary

Analyzing Twitter sentiments through big data is a scholarly article^[1].

Key Facts

Analyzing Twitter sentiments through big data's instance of is recorded as scholarly article^[2].

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Instance of scholarly article

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Authored by 1

M.R. Sundara Kumar

← Author of 1

M.R. Sundara Kumar

References

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Direct Wikidata claims

[2] ↑ Analyzing Twitter sentiments through big data — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Analyzing Twitter sentiments through big data 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). Analyzing Twitter sentiments through big data. Retrieved May 24, 2026, from https://4ort.xyz/entity/analyzing-twitter-sentiments-through-big-data

MLA

“Analyzing Twitter sentiments through big data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analyzing-twitter-sentiments-through-big-data.

BibTeX

@misc{4ortxyz_analyzing-twitter-sentiments-through-big-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analyzing Twitter sentiments through big data}}, year = {2026}, url = {https://4ort.xyz/entity/analyzing-twitter-sentiments-through-big-data}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analyzing Twitter sentiments through big data — https://4ort.xyz/entity/analyzing-twitter-sentiments-through-big-data (retrieved 2026-05-24)

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