Home › Entities › academia › Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification

Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification

Research article (Neurocomputing, 2019) · cited 79× · AI/ML
academia openalex:W2972789371
Press Enter · cited answer in seconds

Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification

Summary

Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification is a scholarly article[1].

Key Facts

  • Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-attention-based-bidirectional-gated-recurrent-neural-network-and-two-dimensional-convolutional-neural-network-
MLA “Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-attention-based-bidirectional-gated-recurrent-neural-network-and-two-dimensional-convolutional-neural-network-.
BibTeX @misc{4ortxyz_combining-attention-based-bidirectional-gated-recurrent-neural-network-and-two-dimensional-convolutional-neural-network-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification}}, year = {2026}, url = {https://4ort.xyz/entity/combining-attention-based-bidirectional-gated-recurrent-neural-network-and-two-dimensional-convolutional-neural-network-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification — https://4ort.xyz/entity/combining-attention-based-bidirectional-gated-recurrent-neural-network-and-two-dimensional-convolutional-neural-network- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/combining-attention-based-bidirectional-gated-recurrent-neural-network-and-two-dimensional-convolutional-neural-network- · Last refreshed: