Abstract
Word categorization based on semantic similarity is a problem need to be solved for several natural language applications. A similarity measure is need for word categorization. In this study it is proposed that the semantic similarity between two Turkish words is in direct proportion to the number of pages which the words are located next to each other. Google and Yahoo search engines were used to find the number of pages. In the first attempt to verify the proposal, the experiments were done with small datasets. The average success ratio is 87%.
Keywords
Categorization
Semantic similarity
Computer science
Similarity (geometry)
Word (group theory)
Natural language processing
Turkish
Information retrieval
Measure (data warehouse)
Artificial intelligence
Text categorization
Similarity measure
Search engine
Explicit semantic analysis
Semantic search
Semantic computing
Data mining
Semantic technology
Semantic Web
Mathematics
Linguistics
Subject Areas
Text and Document Classification Technologies
·Artificial Intelligence ·Physical Sciences
Advanced Text Analysis Techniques
·Artificial Intelligence ·Physical Sciences
Natural Language Processing Techniques
·Artificial Intelligence ·Physical Sciences
Citations by Year
2022: 1
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