International Journal of Economics & Management Sciences

ISSN: 2162-6359

Open Access

Yacouba Conde

Department of Computer Science and Telecommunication Engineering, Jiangsu University, Jiangsu, China

  • Research Article   
    Solicitation of Knowledge Graph Enhanced Neural Network Objects Detection by Sentiment Analysis
    Author(s): Yacouba Conde* and Zhoulianying

    In the machine learning technique, the knowledge graph is advancing swiftly; however, the basic models are not able to grasp all the affluence of the script that comes from the different personal web graphics, social media, ads, and diaries, etc., ignoring the semantic of the basic text identification. The knowledge graph provides a real way to extract structured knowledge from the texts and desire images of neural network, to expedite their semantics examination. In this study, we propose a new hybrid analytic approach for sentiment evaluation based on knowledge graphs, to identify the polarity of sentiment with positive and negative attitudes in short documents, particularly in 4 chirps. We used the tweets graphs, then the similarity of graph highlighted metrics and algorithm classification pertain sentimentality pre-dictions. This technique facilitates the explicability and cl.. Read More»

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