Home ›
Entities
› academia
› Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers
Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers
Research article (Indonesian Journal of Electrical Engineering and Computer Science, 2022) · cited 45× · AI/ML
Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers
Summary
Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers is a scholarly article[1].
Key Facts
Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers. Retrieved May 24, 2026, from https://4ort.xyz/entity/crime-prediction-using-a-hybrid-sentiment-analysis-approach-based-on-the-bidirectional-encoder-representations-from-tran
MLA“Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crime-prediction-using-a-hybrid-sentiment-analysis-approach-based-on-the-bidirectional-encoder-representations-from-tran.
BibTeX@misc{4ortxyz_crime-prediction-using-a-hybrid-sentiment-analysis-approach-based-on-the-bidirectional-encoder-representations-from-tran_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers}}, year = {2026}, url = {https://4ort.xyz/entity/crime-prediction-using-a-hybrid-sentiment-analysis-approach-based-on-the-bidirectional-encoder-representations-from-tran}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers — https://4ort.xyz/entity/crime-prediction-using-a-hybrid-sentiment-analysis-approach-based-on-the-bidirectional-encoder-representations-from-tran (retrieved 2026-05-24)
