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Archana Nagelli
Institution:
Vellore Institute of Technology University
Observed institution:
Vellore Institute of Technology University
ORCID:
0009-0003-1780-3803
Observed ORCID:
0009-0003-1780-3803
OpenAlex ID:
A5085105044
A Comparative Review of Sentimental Analysis Using Machine Learning and Deep Learning Approaches
2023
·
Archana Nagelli
, B. Saleena
·
Journal of Information & Knowledge Management
·
8
Automotive Rank Based ELM Using Iterative Decomposition
2019
·
Archana Nagelli
, Ramesh Ragala
, et al.
·
International journal of intelligent engineering and systems
·
4
PDF
Comparative evaluation of deep learning and machine learning techniques for sentiment analysis of electronic product review data
2025
·
Archana Nagelli
, B. Saleena
, et al.
·
ITM Web of Conferences
·
3
PDF
Survey on Graphical Password Authentication Examining Methods, Safety Precautions, and Views from Users in Contemporary Systems
2024
·
Archana Nagelli
, Siva Karthik R N V
, et al.
·
International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST)
·
2
Optimal Trained Bi-Long Short Term Memory for Aspect Based Sentiment Analysis with Weighted Aspect Extraction
2022
·
Archana Nagelli
, B. Saleena
·
Journal of Web Engineering
·
2
Attention-based convolutional architecture for aspect-based sentiment analysis: training with text-based feature set
2026
·
Archana Nagelli
, B. Saleena
·
Computer Speech & Language
ISFOA-Optimized RoBERTa–Transformer–CapsNet Framework for Aspect-Based Sentiment Classification
2026
·
Archana Nagelli
, B. Saleena
·
International Journal of Computational Intelligence and Applications
Aspect-based Sentiment Analysis with Ontology-assisted Recommender System on Multilingual Data using Optimised Self-attention and Adaptive Deep Learning Network
2025
·
Archana Nagelli
, B. Saleena
·
Journal of Information & Knowledge Management
Simplex Email: Controlled Access of an Email Account among the Users of a Cluster
2016
·
Shirisha Kakarla
, Archana Nagelli
, et al.
·
International Journal of Computer Applications
PDF
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Works count:
10
Citation count:
19
H-index:
3
I10-index:
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