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Research on Patent Text Classification Based on Word2Vec and LSTM

Research article (2018 11th International Symposium on Computational Intelligence and Design (ISCID), 2018) · cited 67× · AI/ML
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Research on Patent Text Classification Based on Word2Vec and LSTM

Summary

Research on Patent Text Classification Based on Word2Vec and LSTM is a scholarly article[1].

Key Facts

  • Research on Patent Text Classification Based on Word2Vec and LSTM's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Research on Patent Text Classification Based on Word2Vec and LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/research-on-patent-text-classification-based-on-word2vec-and-lstm
MLA “Research on Patent Text Classification Based on Word2Vec and LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/research-on-patent-text-classification-based-on-word2vec-and-lstm.
BibTeX @misc{4ortxyz_research-on-patent-text-classification-based-on-word2vec-and-lstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Research on Patent Text Classification Based on Word2Vec and LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/research-on-patent-text-classification-based-on-word2vec-and-lstm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Research on Patent Text Classification Based on Word2Vec and LSTM — https://4ort.xyz/entity/research-on-patent-text-classification-based-on-word2vec-and-lstm (retrieved 2026-05-24)

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