Home ›
Entities
› academia
› Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach
Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach
Research article (2015 48th Hawaii International Conference on System Sciences, 2015) · cited 43× · AI/ML
Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach
Summary
Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach is a scholarly article[1].
Key Facts
Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach's instance of is recorded as scholarly article[2].
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). Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/understanding-citizens-direct-policy-suggestions-to-the-federal-government-a-natural-language-processing-and-topic-model
MLA“Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/understanding-citizens-direct-policy-suggestions-to-the-federal-government-a-natural-language-processing-and-topic-model.
BibTeX@misc{4ortxyz_understanding-citizens-direct-policy-suggestions-to-the-federal-government-a-natural-language-processing-and-topic-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach}}, year = {2026}, url = {https://4ort.xyz/entity/understanding-citizens-direct-policy-suggestions-to-the-federal-government-a-natural-language-processing-and-topic-model}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach — https://4ort.xyz/entity/understanding-citizens-direct-policy-suggestions-to-the-federal-government-a-natural-language-processing-and-topic-model (retrieved 2026-05-24)