Weighted Hashing-Based Capture Text Similarity Estimation with the Cross-Media Semantic Level

Naibaho, Lamhot and Kaswan, Kuldeep Singh and R, Pankaja and Patil, Shrishailappa and Mitkari, Santosh and Waghmare, Vivek Nivruttirao (2022) Weighted Hashing-Based Capture Text Similarity Estimation with the Cross-Media Semantic Level. International Journal of Intelligent Systems and Applications in Engineering, 10 (2). pp. 241-245. ISSN 2147 6799

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Abstract

Web Mining is an emerging trend for the drastic advancement of the different data mining techniques. The web mining process comprises the sequence of operations that are comprises of the different languages those need to be processed effectively. The estimation of the similarity between the ontologies words and the sequences are computed. This paper proposed a Weighted Hashing Similarity Estimation (WHSE). The proposed WHSE model comprises of the weightedvalues for the estimated semantics. The computed semantics are updated in the hashing table for the estimation of the features in the variables. The proposed WHSE computes the similarity score for the extracted sematic word features in the ontology and computes the key words. The proposed WHSE model performance is comparatively examined with the existing technique. The measured recall, precision and accuracy value expressed that proposed WHSE achievesthe 0.98 accuracy value for the semantic ontology. The comparative analysis expressed that proposed WHSE achieves the ~3% -7% improvement than the existing technique for the semantic level

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