Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques
Summary
Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques is a scholarly article[1].
Key Facts
Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/clickbait-detection-in-telugu-overcoming-nlp-challenges-in-resource-poor-languages-using-benchmarked-techniques
MLA“Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clickbait-detection-in-telugu-overcoming-nlp-challenges-in-resource-poor-languages-using-benchmarked-techniques.
BibTeX@misc{4ortxyz_clickbait-detection-in-telugu-overcoming-nlp-challenges-in-resource-poor-languages-using-benchmarked-techniques_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/clickbait-detection-in-telugu-overcoming-nlp-challenges-in-resource-poor-languages-using-benchmarked-techniques}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques — https://4ort.xyz/entity/clickbait-detection-in-telugu-overcoming-nlp-challenges-in-resource-poor-languages-using-benchmarked-techniques (retrieved 2026-05-24)
