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A Comparative Study of Attention-Based and Transformer Models for Emotion Recognition in Assamese

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Deep learning in medical imaging: A brief review
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Human Emotion Recognition from Speech in Audio Physical Features
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Comparison of deep learning models for natural language processing-based classification of non-English head CT reports
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A review on emotion detection by using deep learning techniques
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Improving stemming for Assamese information retrieval
inferredcites →https://doi.org/10.1016/j.apacoust.2020.107520openalex-snapshot
A new pyramidal concatenated CNN approach for environmental sound classification
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Image-based emotion recognition using evolutionary algorithms
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Deep rhythm and long short term memory-based drowsiness detection
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Sentiment and emotion classification over noisy labels
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Bidirectional LSTM with attention mechanism and convolutional layer for text classification
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Context-based emotion recognition: A survey
inferredcites →https://doi.org/10.1016/j.procs.2021.06.075openalex-snapshot
Data-Driven Model for Emotion Detection in Russian Texts
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A Comparative Study of Machine Learning and Deep Learning Approaches for Identifying Assamese Abusive Comments on Social Media
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Programmers' de-anonymization using a hybrid approach of abstract syntax tree and deep learning
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Attention-based LSTM predictive model for the attitude and position of shield machine in tunneling
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Emotional versus neutral expressions and perceptions of social dominance and submissiveness.
inferredcites →https://doi.org/10.1049/cje.2018.11.004openalex-snapshot
A Text Sentiment Classification Modeling Method Based on Coordinated CNN‐LSTM‐Attention Model
inferredcites →https://doi.org/10.1109/access.2019.2929050openalex-snapshot
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances
inferredcites →https://doi.org/10.1109/access.2019.2943639openalex-snapshot
Source Code Authorship Attribution Using Hybrid Approach of Program Dependence Graph and Deep Learning Model
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BiLSTM Model With Attention Mechanism for Sentiment Classification on Chinese Mixed Text Comments
inferredcites →https://doi.org/10.1109/sbr/wre63066.2024.10838143openalex-snapshot
Using Speech and Text in Emotions Recognition
inferredcites →https://doi.org/10.1145/1363686.1364052openalex-snapshot
Learning to identify emotions in text
inferredcites →https://doi.org/10.1145/3057270openalex-snapshot
Current State of Text Sentiment Analysis from Opinion to Emotion Mining
inferredcites →https://doi.org/10.1145/3356728openalex-snapshot
AB-LSTM
inferredcites →https://doi.org/10.1145/3552515openalex-snapshot
Emotion Detection in Code-Mixed Roman Urdu - English Text
inferredcites →https://doi.org/10.1145/3569580openalex-snapshot
Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model
inferredcites →https://doi.org/10.1186/s40537-019-0252-xopenalex-snapshot
Emotion analysis of Arabic tweets using deep learning approach
inferredcites →https://doi.org/10.1515/9780804764360openalex-snapshot
On the Origins of Human Emotions
inferredcites →https://doi.org/10.1609/aaai.v33i01.33016818openalex-snapshot
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
inferredcites →https://doi.org/10.17485/ijst/v16isp2.3252openalex-snapshot
Feature Extraction of Assamese Speech Based One Motion Analysis
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Towards Effective Emotion Analysis in Low-Resource Tamil Texts
inferredcites →https://doi.org/10.3389/fpsyg.2022.849083openalex-snapshot
Spanish Emotion Recognition Method Based on Cross-Cultural Perspective
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Sarcasm Detection over Social Media Platforms Using Hybrid Auto-Encoder-Based Model
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Intermediate-Task Transfer Learning with BERT for Sarcasm Detection
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Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model
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