Home ›
Entities
› academia
› Sentiment Analysis of Sina Weibo Users Under the Impact of Super Typhoon Lekima Using Natural Language Processing Tools: A Multi-Tags Case Study
Sentiment Analysis of Sina Weibo Users Under the Impact of Super Typhoon Lekima Using Natural Language Processing Tools: A Multi-Tags Case Study
Sentiment Analysis of Sina Weibo Users Under the Impact of Super Typhoon Lekima Using Natural Language Processing Tools: A Multi-Tags Case Study
Summary
Sentiment Analysis of Sina Weibo Users Under the Impact of Super Typhoon Lekima Using Natural Language Processing Tools: A Multi-Tags Case Study is a scholarly article[1].
Key Facts
Sentiment Analysis of Sina Weibo Users Under the Impact of Super Typhoon Lekima Using Natural Language Processing Tools: A Multi-Tags Case Study'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). Sentiment Analysis of Sina Weibo Users Under the Impact of Super Typhoon Lekima Using Natural Language Processing Tools: A Multi-Tags Case Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/sentiment-analysis-of-sina-weibo-users-under-the-impact-of-super-typhoon-lekima-using-natural-language-processing-tools-
MLA“Sentiment Analysis of Sina Weibo Users Under the Impact of Super Typhoon Lekima Using Natural Language Processing Tools: A Multi-Tags Case Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sentiment-analysis-of-sina-weibo-users-under-the-impact-of-super-typhoon-lekima-using-natural-language-processing-tools-.
BibTeX@misc{4ortxyz_sentiment-analysis-of-sina-weibo-users-under-the-impact-of-super-typhoon-lekima-using-natural-language-processing-tools-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sentiment Analysis of Sina Weibo Users Under the Impact of Super Typhoon Lekima Using Natural Language Processing Tools: A Multi-Tags Case Study}}, year = {2026}, url = {https://4ort.xyz/entity/sentiment-analysis-of-sina-weibo-users-under-the-impact-of-super-typhoon-lekima-using-natural-language-processing-tools-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sentiment Analysis of Sina Weibo Users Under the Impact of Super Typhoon Lekima Using Natural Language Processing Tools: A Multi-Tags Case Study — https://4ort.xyz/entity/sentiment-analysis-of-sina-weibo-users-under-the-impact-of-super-typhoon-lekima-using-natural-language-processing-tools- (retrieved 2026-05-24)