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The document presents a research article on a hybrid algorithm for measuring text similarity that integrates term semantic information with the traditional TF-IDF method. This approach addresses the limitations of TF-IDF by incorporating semantic understanding to improve accuracy in text similarity calculations. Experimental results indicate that the hybrid method outperforms both pure TF-IDF and semantic understanding methods in terms of accuracy, recall, and F1-metric across various K-means clustering met
- Author
- ehabtronix
- Language
- EN