Presentation 2018-06-22
[Short Paper] Pattern Analysis of Stock Price Increase by Hit Products
Soma Tashiro, Yukari Shirota,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Abstract When a popularity or demand of a product is drastically increasing in the market, a SNS volume is also increasing and then the stock price of the product company may follow the increase. In the paper, using data of the popular game software, we shall analyze the correlation between the SNS spike and the increase of the stock prices. To implement an automatic stock price prediction system, it is important to automatically classify the direction of the stock price movement is positive or not. Therefore, we shall propose and explain the detection model for correlation between SNS spikes and stock price movements.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Stock prediction, / Text mining / SNS spikes / SNS analysis
Paper # DE2018-1
Date of Issue 2018-06-15 (DE)

Conference Information
Committee DE
Conference Date 2018/6/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) LIFULL Co., Ltd.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akiyo Nadamoto(Konan Univ.)
Vice Chair Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.)
Secretary Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science)
Assistant Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Short Paper] Pattern Analysis of Stock Price Increase by Hit Products
Sub Title (in English) Case Study of LOVELIVE!
Keyword(1) Stock prediction,
Keyword(2) Text mining
Keyword(3) SNS spikes
Keyword(4) SNS analysis
1st Author's Name Soma Tashiro
1st Author's Affiliation Gakushuin University(Gakushuin Univ)
2nd Author's Name Yukari Shirota
2nd Author's Affiliation Gakushuin University(Gakushuin Univ)
Date 2018-06-22
Paper # DE2018-1
Volume (vol) vol.118
Number (no) DE-107
Page pp.pp.1-4(DE),
#Pages 4
Date of Issue 2018-06-15 (DE)