An Experimental Study with Tensor Flow for Characteristic mining of Mathematical Formulae from a Document

An Experimental Study with Tensor Flow for Characteristic mining of Mathematical Formulae from a Document

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Through this article a deep learning technique is proposed for the extraction and classification of mathematical keywords from textual documents.Extraction of math keywords from textual data is predominant problem as textual documents contain a culmination of mathematical symbols and literals from natural language such as alphabets and Chef Coat words.Separation of these textual words embedded in the mathematical formulae is a complex task.

Our proposed technique solves this critical problem of extracting mathematical keywords from textual documents using techniques such as stemming,tokenization and clustering mathematical keywords based on a training set of mathematical keyword and formulae pairs.The performance of the proposed Samsung RZ32M7120BC Free Standing 315 Litres A+ Upright Freezer Black technique is measured using the metrics such as retrieval time, Sensitivity, Accuracy, FPR, FNR, and FDR are used for appraisal of the proposed technique.