Mr Pritom Jyoti Goutom | Artificial Intelligence | Best Researcher Award

 

Research Scholar and Project Associate I at Dibrugarh University ,India

Profile:

Scopus 

Education:

Pritom Jyoti Goutom is affiliated with the Centre for Computer Science and Applications at Dibrugarh University in Assam, India 🇮🇳. His research focuses on natural language processing (NLP), particularly related to the Assamese language 🗣️.

Some of his notable contributions include:

1. Text Summarization 📄: He has co-authored papers on text summarization techniques using deep learning, such as “An Abstractive Text Summarization Using Deep Learning in Assamese” and “Text Summarization in Assamese Language Using Sequence to Sequence RNNs”【5​ (ORCID)​​ (Dibrugarh University)​2. Collaboration with Dr. Nomi Baruah 🤝: He often works with Dr. Baruah and others on projects aimed at improving NLP for low-resource languages.

For more details about his educational background and academic contributions, you can check his profile on academic platforms like ORCID【5​ (ORCID)

Professional Experience:

🎓 Research Scholar at Dibrugarh University
Specializing in Natural Language Processing (NLP) and AI-generated text in Assamese.
🔍 Research Focus: Text summarization, part-of-speech tagging, and fake news detection.

👨‍💻 Project Associate I, Dept. of Computer Science and Engineering
Contributing to cutting-edge projects and innovations in AI and NLP.

Research  Focus   :

• Text Summarization: Developing algorithms for concise representation of Assamese text.
• Machine Translation: Enhancing language conversion models for Assamese.
• Sentiment Analysis: Analyzing opinions and emotions expressed in Assamese text.
• Named Entity Recognition (NER): Identifying and categorizing entities in Assamese text.
• Fake News Detection: Implementing models to identify misinformation in Assamese news sources.
• Language Modeling: Building computational models to understand and generate Assamese text.

 

Contributions :

• Co-authored research on abstractive text summarization using deep learning approaches, focusing on the nuances of the Assamese language.
• Investigated LSTM and BiLSTM algorithms for fake news detection, enhancing accuracy and reliability in Assamese news sources.
• Developed attention-based transformer models for text summarization in Assamese, improving content extraction and generation.
• Worked on automatic spelling error identification using deep learning algorithms tailored for Assamese language nuances.

Citations:

Total Citations: 📈 13

Total Documents:  📂3

h-index: 🌟 1

Publication Top Notes:

• Goutom, P. J., Baruah, N., & Sonowal, P. (2023). An abstractive text summarization using deep learning in Assamese. International Journal of Information Technology, 15(5), 2365-2372. (6 citations)

 

• Phukan, R., Goutom, P. J., & Baruah, N. (2024). Assamese Fake News Detection: A Comprehensive Exploration of LSTM and Bi-LSTM Techniques. Procedia Computer Science, 235, 2167-2177.

 

• Goutom, P. J., Baruah, N., & Sonowal, P. (2024). Attention-based Transformer for Assamese Abstractive Text Summarization. Procedia Computer Science, 235, 1097-1104.

 

• Phukan, R., Neog, M., Goutom, P. J., & Baruah, N. (2024). Automated Spelling Error Detection in Assamese Texts using Deep Learning Approaches. Procedia Computer Science, 235, 1684-1694.

 

• Goutom, P. J., & Baruah, N. (2023). Text summarization in Assamese language using sequence to sequence RNNs. Indian Journal of Science and Technology, 16(SP2), 22-29.