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Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data
Research article (Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016) · cited 63× · AI/ML
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). Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-word-embedding-to-evaluate-the-coherence-of-topics-from-twitter-data
MLA“Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-word-embedding-to-evaluate-the-coherence-of-topics-from-twitter-data.
BibTeX@misc{4ortxyz_using-word-embedding-to-evaluate-the-coherence-of-topics-from-twitter-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data}}, year = {2026}, url = {https://4ort.xyz/entity/using-word-embedding-to-evaluate-the-coherence-of-topics-from-twitter-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data — https://4ort.xyz/entity/using-word-embedding-to-evaluate-the-coherence-of-topics-from-twitter-data (retrieved 2026-05-24)