HomeFeb 20265th International Conference(ICSADL 2026) at Mid-West University Birendranagar, Nepal

5th International Conference(ICSADL 2026) at Mid-West University Birendranagar, Nepal

Institution Name: Mid-West University Birendranagar, Nepal

Event Type: International Conference

Conference Name: 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL 2026)

Conference Start Date: 18-02-2026

Conference End Date: 20-02-2026

About Conference:

The 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL 2026) is an academic event focused on showcasing the latest advancements in sentiment analysis and deep learning technologies. The comprehensive analysis of the state-of-the-art research in sentiment analysis and its synergy with deep learning methodologies will help to understand the complexities in interpreting human sentiment from textual, visual, and auditory data, focusing on real-world applications and societal impact. This conference aims to bring together researchers, practitioners, and industry experts to discuss and explore the intersection of sentiment analysis, natural language processing (NLP), and deep learning methodologies.

Call for Papers:

5th ICSADL 2026 invites original research contributions that address the recent research advancements and challenges in the field of sentiment analysis and deep learning. We encourage submissions that explore the intersection of these two fields and their applications across various domains.

Sentiment Analysis:

  • Sentiment classification, polarity detection, and opinion mining
  • Aspect-based sentiment analysis
  • Emotion recognition and analysis
  • Sentiment analysis in social media and other text formats
  • Cross-lingual and multilingual sentiment analysis
  • Fine-grained and comparative sentiment analysis
  • Sentiment analysis in multimodal data
  • Domain-Specific Sentiment Analysis

Deep Learning:

  • Deep learning architectures for sentiment analysis
  • Transfer learning, representation learning and pre-trained models
  • Deep learning for emotion recognition and affective computing
  • Attention mechanisms for sentiment analysis
  • Explainable AI, Generative models and neural network ensembles for sentiment analysis
  • Deep learning for fake news detection and misinformation analysis
  • Deep Learning for aspect extraction and user profiling

Data Analytics:

  • Big data analytics for sentiment insights
  • Comparative sentiment visualization
  • Geospatial and interactive visualization models
  • Statistical methods for sentiment analysis
  • Domain-specific feature engineering techniques
  • Multilingual Sentiment Analysis
Registration Fee: To be updated


Submit your paper:  icsadl.conf@gmail.com

Important Dates:

  • Paper Submission Deadline: 5 November, 2025
  • Decision Notification: 10 December, 2025
  • Registration Deadline: 12 January, 2026
  • Conference Dates: 18-20, February 2026

Contact : 

Mr. Madhav Dhakal
Mid-West University, Nepal
Email: icsadl.conf@gmail.com

University Website: 

Address:

Conference Website: Click here

About University:

Mid-West University (MU) is an autonomous and public institution of higher learning with the mission to serve the people of Nepal and enrich the global learning community by extending the advantages of higher education. Established by the Government of Nepal with a Parliament Act on June 17, 2010 AD under the concept of a multi-university system in the country, Mid-West University is a Federal University in Nepal. The University aims to promote the advancement of learning and dissemination of knowledge for the overall welfare of the nation.

The establishment of MU by locating it in the Karnali Province of Nepal represents the fulfillment of a long-cherished dream of the people of this area, who particularly showed applaudable example through their contribution to a fundraising program geared up for the establishment of this University.

During the years of study with a variety of dedicated lecturers and researchers, the University aims to help students enhance their capacity, promote the holistic development of their abilities and personality, and bring them to a deeper understanding of their future role in society.

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