Automatic semantic analysis framework of the Dickinson’s portfolio based on the character recognition and artificial intelligence is designed in this paper. Because of the dynamic nature of the information source and the problem on updating and saving the potentially useful information, where the information is often ambiguous and also sometimes erroneous. Inspired by this, 2 novelties are proposed. (1) Multi search engine integrates multiple search engines and provides a unified search interface. It sends a query to multiple search engines at the same time and the system is optimized for efficiency. (2) After the character image is preprocessed, a series of the closed contour lines with length greater than the certain threshold are obtained. The AI model is used to analyze the information. The experiment results have shown a better performance.


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    Title :

    Automatic Semantic Analysis Framework of Dickinson’s Portfolio based on Character Recognition and Artificial Intelligence


    Contributors:
    Li, Jian (author)


    Publication date :

    2020-11-05


    Size :

    381262 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English