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Title: :  Cloud Based Stock Price Prediction Using News Sentiment Analysis
PaperId: :  14463
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14463
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof. Naresh ThoutamSandip Institute Of Technology And Research Center, Nashik
Pavan BhavsarSandip Institute Of Technology And Research Center, Nashik
Shubham GawadeSandip Institute Of Technology And Research Center, Nashik
Hemant ChavanSandip Institute Of Technology And Research Center, Nashik
Abhishek GunjalSandip Institute Of Technology And Research Center, Nashik

Abstract

Computer Engineering
Stock Price Prediction, Machine Learning, Linear Regression, News Sentiment Analysis
Stock price prediction is a difficult task, since it very depending on the demand of the stock, and there is no certain variable that can precisely predict the demand of one stock each day. However, Efficient Market Hypothesis (EMH) said that stock price also depends on new information significantly. One of many information sources is people’s opinion in social media. People’s opinion about products from certain companies may determine the company’s reputation and thus affecting people’s decision to buy the stock of the company. When using opinion as primary data, it is necessary to make a suitable analysis of it. A famous example using opinion as data is sentiment analysis. Sentiment analysis is a process to determine emotion/feeling within people opinion about something, in this case products of some companies. There are some researchers about sentiment analysis used to predict the stock prices. Bollen on his research concludes that people opinion on social media such as Twitter can predict DJIA value with 87.6 percent accuracy. This shows that there is a relation between sentiment analysis and stock prices. Our purpose on this research is to predict the Indonesian stock market using simple sentiment analysis. Naïve Bayes and Random Forest algorithm are used to classify tweet to calculate sentiment regarding a company. The results of sentiment analysis are used to predict the company stock price. We use linear regression method to build the prediction model. Our experiment shows that prediction models using previous stock price and hybrid feature as predictor gives the best prediction with 0.9989 and 0.9983 coefficient of determination.

Citations

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IJARIIE Prof. Naresh Thoutam, Pavan Bhavsar, Shubham Gawade, Hemant Chavan, and Abhishek Gunjal. "Cloud Based Stock Price Prediction Using News Sentiment Analysis" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 1702-1704
MLA Prof. Naresh Thoutam, Pavan Bhavsar, Shubham Gawade, Hemant Chavan, and Abhishek Gunjal. "Cloud Based Stock Price Prediction Using News Sentiment Analysis." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 1702-1704.
APA Prof. Naresh Thoutam, Pavan Bhavsar, Shubham Gawade, Hemant Chavan, & Abhishek Gunjal. (2021). Cloud Based Stock Price Prediction Using News Sentiment Analysis. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 1702-1704.
Chicago Prof. Naresh Thoutam, Pavan Bhavsar, Shubham Gawade, Hemant Chavan, and Abhishek Gunjal. "Cloud Based Stock Price Prediction Using News Sentiment Analysis." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 1702-1704.
Oxford Prof. Naresh Thoutam, Pavan Bhavsar, Shubham Gawade, Hemant Chavan, and Abhishek Gunjal. 'Cloud Based Stock Price Prediction Using News Sentiment Analysis', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 1702-1704. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Cloud_Based_Stock_Price_Prediction_Using_News_Sentiment_Analysis_ijariie14463.pdf (Accessed : ).
Harvard Prof. Naresh Thoutam, Pavan Bhavsar, Shubham Gawade, Hemant Chavan, and Abhishek Gunjal. (2021) 'Cloud Based Stock Price Prediction Using News Sentiment Analysis', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 1702-1704IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Cloud_Based_Stock_Price_Prediction_Using_News_Sentiment_Analysis_ijariie14463.pdf (Accessed : )
IEEE Prof. Naresh Thoutam, Pavan Bhavsar, Shubham Gawade, Hemant Chavan, and Abhishek Gunjal, "Cloud Based Stock Price Prediction Using News Sentiment Analysis," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 1702-1704, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Cloud_Based_Stock_Price_Prediction_Using_News_Sentiment_Analysis_ijariie14463.pdf [Accessed : ].
Turabian Prof. Naresh Thoutam, Pavan Bhavsar, Shubham Gawade, Hemant Chavan, and Abhishek Gunjal. "Cloud Based Stock Price Prediction Using News Sentiment Analysis." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 ().
Vancouver Prof. Naresh Thoutam, Pavan Bhavsar, Shubham Gawade, Hemant Chavan, and Abhishek Gunjal. Cloud Based Stock Price Prediction Using News Sentiment Analysis. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(3) : 1702-1704. Available from: https://ijariie.com/AdminUploadPdf/Cloud_Based_Stock_Price_Prediction_Using_News_Sentiment_Analysis_ijariie14463.pdf
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