Emotion Detection in Reddit: Comparative Study of Machine Learning and Deep Learning Techniques
Fuente:
arXiv
Saved in:
| Main Author: | Alaeddini, Maliheh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sarcasm Detection on Reddit Using Classical Machine Learning and Feature Engineering
by: Karmaker, Subrata
Published: (2025)
by: Karmaker, Subrata
Published: (2025)
Emotion Classification in Short English Texts using Deep Learning Techniques
by: Bhat, Siddhanth
Published: (2024)
by: Bhat, Siddhanth
Published: (2024)
Emotion Detection with Transformers: A Comparative Study
by: Rezapour, Mahdi
Published: (2024)
by: Rezapour, Mahdi
Published: (2024)
Performance evaluation of Reddit Comments using Machine Learning and Natural Language Processing methods in Sentiment Analysis
by: Zhang, Xiaoxia, et al.
Published: (2024)
by: Zhang, Xiaoxia, et al.
Published: (2024)
Analyzing Toxicity in Deep Conversations: A Reddit Case Study
by: Shankaran, Vigneshwaran, et al.
Published: (2024)
by: Shankaran, Vigneshwaran, et al.
Published: (2024)
Towards Expectation Detection in Language: A Case Study on Treatment Expectations in Reddit
by: Velutharambath, Aswathy, et al.
Published: (2026)
by: Velutharambath, Aswathy, et al.
Published: (2026)
A Comparative Analysis of Machine Learning and Deep Learning Models for Tweet Sentiment Classification: A Case Study on the Sentiment140 Dataset
by: Anggraini, Vita, et al.
Published: (2026)
by: Anggraini, Vita, et al.
Published: (2026)
Fine-Grained Emotion Detection on GoEmotions: Experimental Comparison of Classical Machine Learning, BiLSTM, and Transformer Models
by: Harutyunyan, Ani, et al.
Published: (2026)
by: Harutyunyan, Ani, et al.
Published: (2026)
Emotions, Context, and Substance Use in Adolescents: A Large Language Model Analysis of Reddit Posts
by: Zhu, Jianfeng, et al.
Published: (2025)
by: Zhu, Jianfeng, et al.
Published: (2025)
A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit
by: Hasan, Khalid, et al.
Published: (2024)
by: Hasan, Khalid, et al.
Published: (2024)
Irony Detection in Urdu Text: A Comparative Study Using Machine Learning Models and Large Language Models
by: Ahmad, Fiaz, et al.
Published: (2025)
by: Ahmad, Fiaz, et al.
Published: (2025)
Detection and Analysis of Stress-Related Posts in Reddit Acamedic Communities
by: Oryngozha, Nazzere, et al.
Published: (2023)
by: Oryngozha, Nazzere, et al.
Published: (2023)
A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches for Sentiment Classification on IMDb Movie Reviews
by: Safitri, Erma Daniar, et al.
Published: (2026)
by: Safitri, Erma Daniar, et al.
Published: (2026)
Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
by: La Cava, Lucio, et al.
Published: (2025)
by: La Cava, Lucio, et al.
Published: (2025)
Sentiment Analysis and Emotion Classification using Machine Learning Techniques for Nagamese Language -- A Low-resource Language
by: Morang, Ekha, et al.
Published: (2025)
by: Morang, Ekha, et al.
Published: (2025)
Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection
by: Marchitan, Teodor-George, et al.
Published: (2024)
by: Marchitan, Teodor-George, et al.
Published: (2024)
NepEMO: A Multi-Label Emotion and Sentiment Analysis on Nepali Reddit with Linguistic Insights and Temporal Trends
by: Sitoula, Sameer, et al.
Published: (2025)
by: Sitoula, Sameer, et al.
Published: (2025)
Advanced Machine Learning Techniques for Social Support Detection on Social Media
by: Kolesnikova, Olga, et al.
Published: (2025)
by: Kolesnikova, Olga, et al.
Published: (2025)
PulseReddit: A Novel Reddit Dataset for Benchmarking MAS in High-Frequency Cryptocurrency Trading
by: Han, Qiuhan, et al.
Published: (2025)
by: Han, Qiuhan, et al.
Published: (2025)
Deep Learning Based Dense Retrieval: A Comparative Study
by: Zhong, Ming, et al.
Published: (2024)
by: Zhong, Ming, et al.
Published: (2024)
ReDSM5: A Reddit Dataset for DSM-5 Depression Detection
by: Bao, Eliseo, et al.
Published: (2025)
by: Bao, Eliseo, et al.
Published: (2025)
Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media
by: Ding, Zhanyi, et al.
Published: (2025)
by: Ding, Zhanyi, et al.
Published: (2025)
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications
by: Feng, Pohsun, et al.
Published: (2024)
by: Feng, Pohsun, et al.
Published: (2024)
Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection
by: Zhang, Yeyubei, et al.
Published: (2025)
by: Zhang, Yeyubei, et al.
Published: (2025)
Benchmarking PyCaret AutoML Against BiLSTM for Fine-Grained Emotion Classification: A Comparative Study on 20-Class Emotion Detection
by: Siregar, Arya Muda, et al.
Published: (2026)
by: Siregar, Arya Muda, et al.
Published: (2026)
The Moral Foundations Reddit Corpus
by: Trager, Jackson, et al.
Published: (2022)
by: Trager, Jackson, et al.
Published: (2022)
Is Personality Prediction Possible Based on Reddit Comments?
by: Deimann, Robert, et al.
Published: (2024)
by: Deimann, Robert, et al.
Published: (2024)
Quantifying Gender Biases Towards Politicians on Reddit
by: Marjanovic, Sara, et al.
Published: (2021)
by: Marjanovic, Sara, et al.
Published: (2021)
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques
by: Roy, Utsha, et al.
Published: (2024)
by: Roy, Utsha, et al.
Published: (2024)
A Comparative Study of Machine Unlearning Techniques for Image and Text Classification Models
by: Safa, Omar M., et al.
Published: (2024)
by: Safa, Omar M., et al.
Published: (2024)
Aspect-Based Sentiment Analysis Techniques: A Comparative Study
by: Jayakody, Dineth, et al.
Published: (2024)
by: Jayakody, Dineth, et al.
Published: (2024)
Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda
by: Kimera, Richard, et al.
Published: (2024)
by: Kimera, Richard, et al.
Published: (2024)
News Source Credibility Assessment: A Reddit Case Study
by: Amini, Arash, et al.
Published: (2024)
by: Amini, Arash, et al.
Published: (2024)
Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study
by: Hu, Jiacheng, et al.
Published: (2024)
by: Hu, Jiacheng, et al.
Published: (2024)
Reddit is all you need: Authorship profiling for Romanian
by: Ştefănescu, Ecaterina, et al.
Published: (2024)
by: Ştefănescu, Ecaterina, et al.
Published: (2024)
Polarization and Morality: Lexical Analysis of Abortion Discourse on Reddit
by: Stanier, Tessa, et al.
Published: (2024)
by: Stanier, Tessa, et al.
Published: (2024)
Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application
by: Chen, Keyu, et al.
Published: (2024)
by: Chen, Keyu, et al.
Published: (2024)
Supervised Gradual Machine Learning for Aspect Category Detection
by: Ahmed, Murtadha, et al.
Published: (2024)
by: Ahmed, Murtadha, et al.
Published: (2024)
Leveraging Machine Learning to Detect Data Curation Activities
by: Lafia, Sara, et al.
Published: (2021)
by: Lafia, Sara, et al.
Published: (2021)
A Benchmark Suite of Reddit-Derived Datasets for Mental Health Detection
by: Hasan, Khalid, et al.
Published: (2026)
by: Hasan, Khalid, et al.
Published: (2026)
Similar Items
-
Sarcasm Detection on Reddit Using Classical Machine Learning and Feature Engineering
by: Karmaker, Subrata
Published: (2025) -
Emotion Classification in Short English Texts using Deep Learning Techniques
by: Bhat, Siddhanth
Published: (2024) -
Emotion Detection with Transformers: A Comparative Study
by: Rezapour, Mahdi
Published: (2024) -
Performance evaluation of Reddit Comments using Machine Learning and Natural Language Processing methods in Sentiment Analysis
by: Zhang, Xiaoxia, et al.
Published: (2024) -
Analyzing Toxicity in Deep Conversations: A Reddit Case Study
by: Shankaran, Vigneshwaran, et al.
Published: (2024)