Transforming sentiment analysis for e-commerce product reviews: Hybrid deep learning model with an innovative term weighting and feature selection

P Rasappan, M Premkumar, G Sinha… - Information Processing …, 2024 - Elsevier
Improving user satisfaction by analyzing many user reviews found on e-commerce platforms
is becoming increasingly significant in this modern world. However, accurately predicting …

Novel deep learning models for yoga pose estimator

AS Talaat - SN Applied Sciences, 2023 - Springer
Yoga pose recognition and correction are artificial intelligent techniques to provide
standardized and appropriate yoga poses. Incorrect yoga poses can cause serious injuries …

[HTML][HTML] Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization

AB Ramakrishnan, M Sridevi, SK Vasudevan… - Informatics in Medicine …, 2024 - Elsevier
A brain tumour is a malignant condition that spreads extremely quickly and requires rapid
detection. In recent years, it has become apparent that deep learning is a promising …

Revolutionizing Automotive Parts Classification Using InceptionV3 Transfer Learning

D Hindarto - International Journal Software Engineering …, 2023 - journal.lembagakita.org
This study presents a novel methodology for classifying automotive parts by implementing
the Transfer Learning technique, utilizing the InceptionV3 architecture. We use a proprietary …

Linguistic based emotion analysis using softmax over time attention mechanism

M Roshan, M Rawat, K Aryan, E Lyakso, AM Mekala… - Plos one, 2024 - journals.plos.org
Recognizing the real emotion of humans is considered the most essential task for any
customer feedback or medical applications. There are many methods available to recognize …

Hidden Variable Models in Text Classification and Sentiment Analysis

P Koochemeshkian, E Ihou Koffi, N Bouguila - Electronics, 2024 - mdpi.com
In this paper, we are proposing extensions to the multinomial principal component analysis
(MPCA) framework, which is a Dirichlet (Dir)-based model widely used in text document …

Decoding Group Emotional Dynamics in a Web-Based Collaborative Environment: A Novel Framework Utilizing Multi-Person Facial Expression Recognition

Q Li, Z Liu, Z Zhang, Q Wang, M Ma - International Journal of …, 2024 - Taylor & Francis
As a crucial form of non-verbal communication, facial expressions can convey an
individual's emotional state through a combination of facial muscle movements and provide …

An innovative deep active learning approach for improving unlabeled audio classification by selectively querying informative instance

M Salama - International Journal of Engineering Business …, 2023 - journals.sagepub.com
Audio classification tasks like speech recognition and acoustic scene analysis require
substantial labeled data, which is expensive. This work explores active learning to reduce …

M2ER: Multimodal Emotion Recognition Based on Multi-Party Dialogue Scenarios

B Zhang, X Yang, G Wang, Y Wang, R Sun - Applied Sciences, 2023 - mdpi.com
Researchers have recently focused on multimodal emotion recognition, but issues persist in
recognizing emotions in multi-party dialogue scenarios. Most studies have only used text …

Prediksi Penilaian Kinerja Pegawai Berdasarkan Rating Pelanggan Menggunakan Metode Neural Network

ARF Zalukhu, M Hendri, S Abdy, TS Alasi - Jurnal Informatika Press, 2024 - idpress.ac.id
Melalui penilaian prestasi kerja akan diketahui seberapa baik pegawai telah melaksanakan
tugas-tugas yang dibebankan kepadanya, sehingga perusahaan dapat menetapkan balas …