Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Toward Sentiment Analysis Based on Deep Learning with Keyword Detection in a Financial Report

재무 보고서의 키워드 검출 기반 딥러닝 감성분석 기법

  • Jo, Dongsik (Department of Digital Contents Engineering, Wonkwang University) ;
  • Kim, Daewhan (Creative Contents Research Division, Electronics Telecommunication Research Institute) ;
  • Shin, Yoojin (Division of Business Administration, Wonkwang University)
  • Received : 2020.03.15
  • Accepted : 2020.04.28
  • Published : 2020.05.31
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Abstract

Recent advances in artificial intelligence have allowed for easier sentiment analysis (e.g. positive or negative forecast) of documents such as a finance reports. In this paper, we investigate a method to apply text mining techniques to extract in the financial report using deep learning, and propose an accounting model for the effects of sentiment values in financial information. For sentiment analysis with keyword detection in the financial report, we suggest the input layer with extracted keywords, hidden layers by learned weights, and the output layer in terms of sentiment scores. Our approaches can help more effective strategy for potential investors as a professional guideline using sentiment values.

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References

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