Survival study on stock market prediction techniques using sentimental analysis. (2023)

• Record Type: Journal Article
• Authors: Rajendiran, P.; Priyadarsini, P.L.K.
• Is Part Of: Materials today. Volume 80:Part 3(2023)
• Page Start: 3229
• Page End: 3234
• Publication Date: 2023
• Subjects: Sentiment analysis -- Stock market -- Prediction -- Classification -- Reliability; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2021.07.217
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: Sentiment analysis is the method to detect stock market behaviour. Various components are functioning their ups and downs because the stock market is unestimated. The trend of sequence gets influenced through factors and non-linear relationship. Both academic and real-life business, the Stock market prediction is an attractive topic. The prediction is carried out by gathering the customer reviews and classifying them as positive reviews or negative reviews. Various statistical and econometric techniques were introduced for stock market prediction using sentimental analysis. Stock market predictions are suffered from errorless through sentiment analysis techniques. Lesser classification accuracy has a direct cause for the reliability of stock market indicators. To improve prediction performance, the existing problems of stock market prediction were reviewed in this paper.