Home › Entities › academia › A fine-grained deep learning model using embedded-CNN with BiLSTM for exploiting product sentiments

A fine-grained deep learning model using embedded-CNN with BiLSTM for exploiting product sentiments

Research article (Alexandria Engineering Journal, 2022) · cited 45× · AI/ML
academia openalex:W4310908168
Press Enter · cited answer in seconds

A fine-grained deep learning model using embedded-CNN with BiLSTM for exploiting product sentiments

Summary

A fine-grained deep learning model using embedded-CNN with BiLSTM for exploiting product sentiments is a scholarly article[1].

Key Facts

  • A fine-grained deep learning model using embedded-CNN with BiLSTM for exploiting product sentiments'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). A fine-grained deep learning model using embedded-CNN with BiLSTM for exploiting product sentiments. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-fine-grained-deep-learning-model-using-embedded-cnn-with-bilstm-for-exploiting-product-sentiments
MLA “A fine-grained deep learning model using embedded-CNN with BiLSTM for exploiting product sentiments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-fine-grained-deep-learning-model-using-embedded-cnn-with-bilstm-for-exploiting-product-sentiments.
BibTeX @misc{4ortxyz_a-fine-grained-deep-learning-model-using-embedded-cnn-with-bilstm-for-exploiting-product-sentiments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A fine-grained deep learning model using embedded-CNN with BiLSTM for exploiting product sentiments}}, year = {2026}, url = {https://4ort.xyz/entity/a-fine-grained-deep-learning-model-using-embedded-cnn-with-bilstm-for-exploiting-product-sentiments}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A fine-grained deep learning model using embedded-CNN with BiLSTM for exploiting product sentiments — https://4ort.xyz/entity/a-fine-grained-deep-learning-model-using-embedded-cnn-with-bilstm-for-exploiting-product-sentiments (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-fine-grained-deep-learning-model-using-embedded-cnn-with-bilstm-for-exploiting-product-sentiments · Last refreshed: