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Leveraging multiple features for document sentiment classification

Research article (Information Sciences, 2020) · cited 34× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
January 7, 2020as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
Information Sciencesas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
Leveraging multiple features for document sentiment classificationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W3000546628as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1016/J.INS.2020.01.012as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 4
Chuanyi Li, Jidong Ge, Li Kong, Zhongjin Li
← Author of 4
Chuanyi Li, Jidong Ge, Li Kong, Zhongjin Li
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Summary

Leveraging multiple features for document sentiment classification is a scholarly article[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). Leveraging multiple features for document sentiment classification. Retrieved October 19, 2026, from https://4ort.xyz/entity/leveraging-multiple-features-for-document-sentiment-classification
MLA “Leveraging multiple features for document sentiment classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 19 Oct. 2026, https://4ort.xyz/entity/leveraging-multiple-features-for-document-sentiment-classification.
BibTeX @misc{4ortxyz_leveraging-multiple-features-for-document-sentiment-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging multiple features for document sentiment classification}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-multiple-features-for-document-sentiment-classification}, note = {Accessed: 2026-10-19}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging multiple features for document sentiment classification — https://4ort.xyz/entity/leveraging-multiple-features-for-document-sentiment-classification (retrieved 2026-10-19)

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