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Call for Paper

The ICNLPM emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Machine Learning are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Sentiment analysis using NLP and ML
02
Text classification with machine learning
03
Named entity recognition in NLP
04
Machine translation using deep learning
05
Chatbot development with NLP techniques
06
Speech recognition advancements in NLP
07
Information retrieval using machine learning
08
Text summarization methods in NLP
09
Dialogue systems powered by ML
10
Emotion detection in text data
11
NLP for social media analysis
12
Language models and their applications
13
Ethics in natural language processing
14
Cross-lingual NLP applications
15
NLP for healthcare data analysis
16
Document clustering using machine learning
17
Word embeddings and their impact
18
NLP in customer service automation
19
Challenges in multilingual NLP systems
20
Future directions in NLP research

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.