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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제18권 제3호
- 발행연도
- 2016.1
- 수록면
- 1,259 - 1,270 (12page)
이용수
초록· 키워드
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Managing text-based information is crucial when trying to extract valuable information from documents. This research studied the quantification of unstructured text and its forecasting power. In order to examine unstructured information related to predictive models, documents generated on Naver (a Korean web portal site) from January, 2009 to September, 2015 were used to investigate and predict changes in consumption of four different types of vegetables in South Korea. To quantify the text-based unstructured information, several methods were proposed, such as the amount of search keyword, the amount of buzzword, degree-centrality-weighted term frequency, IDF weighted term frequency, and skewness- weighted term frequency. These methods tracked the keywords in the document and their numerical weights to score individual terms co-occurred with each type of vegetable. Statistical analyses were then conducted to verify the stationarity and cointegration. In addition, VEC system was used to estimate the relationship between consumption of each type of vegetable and quantified text-based unstructured information. Afterwards, Granger causality tests were conducted to verify the effects from the quantified unstructured information to the consumption rather than vice versa.
목차
등록된 정보가 없습니다.
참고문헌 (29)
참고문헌 신청
조인호 / 2015 / Speech Acts in Televised Presidential Debates and Facebook Messages: The Case of the 2012 South Korean Presidential Election / Journal of The Korean Data Analysis Society 17(3):1185~1201
Christopher, D. / 1999 / Foundations of Statistical Natural Language Processing / MIT Press
Chung, C. / 2010 / Textual analysis of a political message : The inaugural addresses of two Korean presidents / Social Science Information 49:215~239
Dickey, D. A. / 1979 / Distribution of the estimators for autoregressive time series with a unit root / Journal of the American Statistical Association 74:427~431
Engle, R. F. / 1987 / Co-integration and error correction : Representation, estimation and testing / Econometrica 55:251~276
Christopher, D. / 1999 / Foundations of Statistical Natural Language Processing / MIT Press
Chung, C. / 2010 / Textual analysis of a political message : The inaugural addresses of two Korean presidents / Social Science Information 49:215~239
Dickey, D. A. / 1979 / Distribution of the estimators for autoregressive time series with a unit root / Journal of the American Statistical Association 74:427~431
Engle, R. F. / 1987 / Co-integration and error correction : Representation, estimation and testing / Econometrica 55:251~276
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