Ravi Nahta

Orcid: 0000-0001-7085-9230

According to our database¹, Ravi Nahta authored at least 10 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

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Bibliography

2025

CF-MGAN: Collaborative filtering with metadata-aware generative adversarial networks for top-N recommendation.

[BibT_eX]

[DOI]

Inf. Sci., 2025

2024

Deep learning with the generative models for recommender systems: A survey.

[BibT_eX]

[DOI]

Comput. Sci. Rev., 2024

Hierarchical attention for aspect extraction using LSTM in fine-grained sentiment analysis and evaluation.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2024

2023

Aspect based sentiment analysis using deep learning approaches: A survey.

[BibT_eX]

[DOI]

Comput. Sci. Rev., August, 2023

Deep Learning Model to Improve Teaching-Learning Process using Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

A mixed unsupervised method for aspect extraction using BERT.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

2021

Embedding metadata using deep collaborative filtering to address the cold start problem for the rating prediction task.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

Two-step hybrid collaborative filtering using deep variational Bayesian autoencoders.

[BibT_eX]

[DOI]

Inf. Sci., 2021

A hybrid neural variational CF-NADE for collaborative filtering using abstraction and generation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

2020

A two-step hybrid unsupervised model with attention mechanism for aspect extraction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

Ravi Nahta

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