Text Classification Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Text Classification ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Text Classification Projects
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Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory
This project studies how texts written by GPT-2 compare with human-written novels and programming code. The researchers analyzed patterns, repetitions, and structures in the texts. They then created a system that can measure these patterns and classify the texts automatically. The study helps us understand how AI-generated texts work and can improve tools for text analysis, plagiarism detection, and fake news spotting. -
A Comparative Analysis of Word Embeddings Techniques for Italian News Categorization
This project focuses on teaching computers to automatically classify Italian news articles into different topics. It uses various language models to understand the meaning of Italian words and compares their accuracy. The researchers tested many algorithms and found that some worked much better than others. The study also introduced new Italian language models to help future research in text classification.
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