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Title: :  Cloud Based Stock Price Prediction using News Sentiment Analysis- A Review of Literature
PaperId: :  14037
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 2 2021
DUI:    16.0415/IJARIIE-14037
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pavan BhavsarSandip Institute of Technology and Research Centre (SITRC) Nashik
Shubham Gawade Sandip Institute of Technology and Research Centre (SITRC) Nashik
Hemant ChavanSandip Institute of Technology and Research Centre (SITRC) Nashik
Abhishek GunjalSandip Institute of Technology and Research Centre (SITRC) Nashik
Prof. Naresh ThoutamSandip Institute of Technology and Research Centre (SITRC) Nashik

Abstract

Computer Engineering
linear regression, sentiment analysis, stock price, supervised learning, Twitter
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.

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IJARIIE Pavan Bhavsar, Shubham Gawade , Hemant Chavan, Abhishek Gunjal, and Prof. Naresh Thoutam. "Cloud Based Stock Price Prediction using News Sentiment Analysis- A Review of Literature" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 2 2021 Page 1333-1336
MLA Pavan Bhavsar, Shubham Gawade , Hemant Chavan, Abhishek Gunjal, and Prof. Naresh Thoutam. "Cloud Based Stock Price Prediction using News Sentiment Analysis- A Review of Literature." International Journal Of Advance Research And Innovative Ideas In Education 7.2(2021) : 1333-1336.
APA Pavan Bhavsar, Shubham Gawade , Hemant Chavan, Abhishek Gunjal, & Prof. Naresh Thoutam. (2021). Cloud Based Stock Price Prediction using News Sentiment Analysis- A Review of Literature. International Journal Of Advance Research And Innovative Ideas In Education, 7(2), 1333-1336.
Chicago Pavan Bhavsar, Shubham Gawade , Hemant Chavan, Abhishek Gunjal, and Prof. Naresh Thoutam. "Cloud Based Stock Price Prediction using News Sentiment Analysis- A Review of Literature." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 2 (2021) : 1333-1336.
Oxford Pavan Bhavsar, Shubham Gawade , Hemant Chavan, Abhishek Gunjal, and Prof. Naresh Thoutam. 'Cloud Based Stock Price Prediction using News Sentiment Analysis- A Review of Literature', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, 2021, p. 1333-1336. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Cloud_Based_Stock_Price_Prediction_using_News_Sentiment_Analysis__A_Review_of_Literature_ijariie14037.pdf (Accessed : 04 January 2024).
Harvard Pavan Bhavsar, Shubham Gawade , Hemant Chavan, Abhishek Gunjal, and Prof. Naresh Thoutam. (2021) 'Cloud Based Stock Price Prediction using News Sentiment Analysis- A Review of Literature', International Journal Of Advance Research And Innovative Ideas In Education, 7(2), pp. 1333-1336IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Cloud_Based_Stock_Price_Prediction_using_News_Sentiment_Analysis__A_Review_of_Literature_ijariie14037.pdf (Accessed : 04 January 2024)
IEEE Pavan Bhavsar, Shubham Gawade , Hemant Chavan, Abhishek Gunjal, and Prof. Naresh Thoutam, "Cloud Based Stock Price Prediction using News Sentiment Analysis- A Review of Literature," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, pp. 1333-1336, Mar-App 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Cloud_Based_Stock_Price_Prediction_using_News_Sentiment_Analysis__A_Review_of_Literature_ijariie14037.pdf [Accessed : 04 January 2024].
Turabian Pavan Bhavsar, Shubham Gawade , Hemant Chavan, Abhishek Gunjal, and Prof. Naresh Thoutam. "Cloud Based Stock Price Prediction using News Sentiment Analysis- A Review of Literature." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 2 (04 January 2024).
Vancouver Pavan Bhavsar, Shubham Gawade , Hemant Chavan, Abhishek Gunjal, and Prof. Naresh Thoutam. Cloud Based Stock Price Prediction using News Sentiment Analysis- A Review of Literature. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 04 January 2024]; 7(2) : 1333-1336. Available from: https://ijariie.com/AdminUploadPdf/Cloud_Based_Stock_Price_Prediction_using_News_Sentiment_Analysis__A_Review_of_Literature_ijariie14037.pdf
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