DeepAI AI Chat
Log In Sign Up

Predicting the Effects of News Sentiments on the Stock Market

12/11/2018
by   Dev Shah, et al.
0

Stock market forecasting is very important in the planning of business activities. Stock price prediction has attracted many researchers in multiple disciplines including computer science, statistics, economics, finance, and operations research. Recent studies have shown that the vast amount of online information in the public domain such as Wikipedia usage pattern, news stories from the mainstream media, and social media discussions can have an observable effect on investors opinions towards financial markets. The reliability of the computational models on stock market prediction is important as it is very sensitive to the economy and can directly lead to financial loss. In this paper, we retrieved, extracted, and analyzed the effects of news sentiments on the stock market. Our main contributions include the development of a sentiment analysis dictionary for the financial sector, the development of a dictionary-based sentiment analysis model, and the evaluation of the model for gauging the effects of news sentiments on stocks for the pharmaceutical market. Using only news sentiments, we achieved a directional accuracy of 70.59 predicting the trends in short-term stock price movement.

READ FULL TEXT
11/11/2022

FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis

Economy is severely dependent on the stock market. An uptrend usually co...
03/13/2019

Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward

Financial market forecasting is one of the most attractive practical app...
09/27/2019

Stock Market Forecasting Based on Text Mining Technology: A Support Vector Machine Method

News items have a significant impact on stock markets but the ways are o...
06/23/2021

Stock Market Analysis with Text Data: A Review

Stock market movements are influenced by public and private information ...
02/15/2021

TI-Capsule: Capsule Network for Stock Exchange Prediction

Today, the use of social networking data has attracted a lot of academic...
09/07/2019

A Deep Learning Framework for Pricing Financial Instruments

We propose an integrated deep learning architecture for the stock moveme...