학술논문
A Hybrid Model Approach For Stock Market Price Prediction
Document Type
Conference
Source
2023 International Conference on Computer Communication and Informatics (ICCCI) Computer Communication and Informatics (ICCCI), 2023 International Conference on. :1-4 Jan, 2023
Subject
Language
ISSN
2473-7577
Abstract
Customer satisfaction plays a most important role in predicting the stock prices in the market. This paper shows how to identify the customer satisfaction based on numerical analysis of stock prices and collecting tweets from twitter. Customer comments posted in social media websites like twitter will be collected through snscrape module. Numerical data of stock prices were collected from yahoo finance. Finally predicting the sentiment score using SVM and random forest algorithm, this will help in future improvement of stock prices based on customer satisfaction.