Using Sentimental Analysis in Prediction of Stock Market Investment

被引：0

作者：

Khatri, Sunil Kumar ^{[1
]}

Srivastava, Ayush ^{[1
]}

机构：

[1] Amity Univ, Amity Inst Informat Technol, Noida, Uttar Pradesh, India

来源：

2016 5TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO) | 2016年

关键词：

Sentimental Analysis; Stocks Markets; Media; Moods; Artificial Neural Network;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Sentimental Analysis is one of the most popular technique which is widely been used in every industry. Extraction of sentiments from user's comments is used in detecting the user view for a particular company. Sentimental Analysis can help in predicting the mood of people which affects the stock prices and thus can help in prediction of actual prices. In this paper sentimental analysis is performed on the data extracted from Twitter and Stock Twits. The data is analyzed to compute the mood of user's comment. These comments are categorized into four category which are happy, up, down and rejected. The polarity index along with market data is supplied to an artificial neural network to predict the results.

引用

页码：566 / 569

页数：4

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