Work2016

Using sentimental analysis in prediction of stock market investment

Sunil Kumar Khatri · Ayush Kumar Srivastava

35 citations0/0 files storedInternational Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Sentiment Analysis and Opinion Mining

Abstract

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.

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2020Stock market prediction using machine learning classifiers and social media, news 2020Predicting Stock Movement Using Sentiment Analysis of Twitter Feed with Neural Networks 2024A systematic literature survey on recent trends in stock market prediction 2020Recent Advances in Stock Market Prediction Using Text Mining: A Survey

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