NET-LDA: a novel topic modeling method based on semantic document similarity

Research article (TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2020) · cited 15× · AI/ML
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NET-LDA: a novel topic modeling method based on semantic document similarity

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NET-LDA: a novel topic modeling method based on semantic document similarity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). NET-LDA: a novel topic modeling method based on semantic document similarity. Retrieved May 24, 2026, from https://4ort.xyz/entity/net-lda-a-novel-topic-modeling-method-based-on-semantic-document-similarity
MLA “NET-LDA: a novel topic modeling method based on semantic document similarity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/net-lda-a-novel-topic-modeling-method-based-on-semantic-document-similarity.
BibTeX @misc{4ortxyz_net-lda-a-novel-topic-modeling-method-based-on-semantic-document-similarity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{NET-LDA: a novel topic modeling method based on semantic document similarity}}, year = {2026}, url = {https://4ort.xyz/entity/net-lda-a-novel-topic-modeling-method-based-on-semantic-document-similarity}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): NET-LDA: a novel topic modeling method based on semantic document similarity — https://4ort.xyz/entity/net-lda-a-novel-topic-modeling-method-based-on-semantic-document-similarity (retrieved 2026-05-24)

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