Natural Language Processing Techniques Final Year Projects with Source Code

Natural Language Processing Techniques Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Natural Language Processing Techniques projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Natural Language Processing Techniques Final Year Projects

  1. Clinical Errors From Acronym Use in Electronic Health Record A Review of NLP-Based Disambiguation Techniques
    This study looks at how medical records often contain confusing acronyms that can cause errors in patient care. It explains why electronic health records (EHRs) sometimes increase mistakes and why understanding these acronyms is important. The research also explores how artificial intelligence, especially machine learning, can help automatically clarify the meaning of these acronyms. Finally, it reviews how EHRs are used worldwide and the latest AI methods for reducing errors caused by unclear medical terms.
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Natural Language Processing Techniques Project Synopsis & Presentation

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