Home › Entities › academia › An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach

Research article (Future Internet, 2021) · cited 18× · AI/ML
academia openalex:W3179522343
Press Enter · cited answer in seconds

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach

Summary

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach is a scholarly article[1].

Key Facts

  • An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach's instance of is recorded as scholarly article[2].

Related Entities

Alexandra I. Cristea

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). An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-study-on-customer-churn-behaviours-prediction-using-arabic-twitter-mining-approach
MLA “An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-study-on-customer-churn-behaviours-prediction-using-arabic-twitter-mining-approach.
BibTeX @misc{4ortxyz_an-empirical-study-on-customer-churn-behaviours-prediction-using-arabic-twitter-mining-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-study-on-customer-churn-behaviours-prediction-using-arabic-twitter-mining-approach}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach — https://4ort.xyz/entity/an-empirical-study-on-customer-churn-behaviours-prediction-using-arabic-twitter-mining-approach (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-empirical-study-on-customer-churn-behaviours-prediction-using-arabic-twitter-mining-approach · Last refreshed: