Survival Study on Document Classification Methods for Efficient Semantic Analytics

Author(s)	Ms. Sharada C, Prof. Dr. T N Ravi, Prof. Dr. Panneer Arokiaraj S
Country	India
Abstract	Text mining is procedure of mining the unknown information present in data. Text classification is sub-domain of text mining that acts main part at labeling documents based on their semantic meaning and context. Semantic document classification is a technique that employed the semantic analysis to improve the accuracy level. Document classification is information filtering device employed to enhance retrieval outcomes from query procedure for taking good decisions. Different ML methods are employed to classify available text documents. Semantic analysis is carried out for efficient text classification through semantic keywords using independent features of keywords in documents. The information extraction from the resources and knowledge discovery is a significant area for research. Different document classification techniques are carried out for efficient semantic analysis. In order to address these issues, dissimilar ML and DL methods are discussed for document classification.
Keywords	Text mining, text classification, semantic document, machine learning, semantic keywords, knowledge discovery, deep learning
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 3, July-September 2025
Published On	2025-07-08
DOI	https://doi.org/10.71097/IJSAT.v16.i3.6799
Short DOI	https://doi.org/g9sx6s

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International Journal on Science and Technology