emotion-aware-nlp-leveraging-deep-learning-for-contextual-sentiment-understanding

https://github.com/raphaeliyamu/emotion-aware-nlp-leveraging-deep-learning-for-contextual-sentiment-understanding

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
○
DOI references
○
Academic publication links
○
Academic email domains
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (6.7%) to scientific vocabulary

Last synced: 7 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: raphaeliyamu
Language: TeX
Default Branch: main
Size: 739 KB

Statistics

Stars: 119
Watchers: 1
Forks: 93
Open Issues: 0
Releases: 0

Created 11 months ago · Last pushed 11 months ago

Metadata Files

Readme Citation

Emotion-Aware NLP: Leveraging Deep Learning for Contextual Sentiment Understanding

Author: Raphael Iyamu
Published in: International Journal of Novel Research and Development (IJNRD)
Volume: 8, Issue: 12, Date: December 2023
ISSN: 2456-4184
Publisher Site: www.ijnrd.org

Abstract

Emotion-Aware NLP has transformed sentiment analysis by leveraging deep learning techniques to understand complex emotional cues in text. Unlike traditional lexicon-based approaches, these models utilize contextual embeddings and transformer architectures (like BERT and GPT) to detect subtle emotions including sarcasm, irony, and multi-label sentiments. This paper presents a deep dive into emotion detection models, their performance on various datasets, and practical applications across industries such as healthcare, customer support, and mental health monitoring. It also outlines current challenges such as bias, computational overhead, and ethical considerations, providing a roadmap for future research in emotionally intelligent AI.

Keywords

Emotion-aware NLP, Deep Learning, Sentiment Analysis, Transformer Models, Contextual Embeddings, Natural Language Processing, Sarcasm Detection, Multi-Label Classification, Ethical AI, Human-Computer Interaction

Citation

Please cite this work as:

Iyamu, R. (2023). Emotion-Aware NLP: Leveraging Deep Learning for Contextual Sentiment Understanding. International Journal of Novel Research and Development (IJNRD), 8(12).

Or use the BibTeX entry in citation.bib.

License

This work is shared for academic and educational purposes only.

Owner

Name: Raphael Iyamu
Login: raphaeliyamu
Kind: user

Repositories: 1
Profile: https://github.com/raphaeliyamu

Citation (citation.bib)

@article{iyamu2023emotionNLP,
  author    = {Raphael Iyamu},
  title     = {Emotion-Aware NLP: Leveraging Deep Learning for Contextual Sentiment Understanding},
  journal   = {International Journal of Novel Research and Development (IJNRD)},
  volume    = {8},
  number    = {12},
  year      = {2023},
  month     = {December},
  issn      = {2456-4184},
  url       = {https://www.ijnrd.org},
  note      = {IJNRD2312452}
}

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science