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Predictive Analytics for Stock Prices using Sentiment Analysis

by Salma Elsayed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 48
Year of Publication: 2022
Authors: Salma Elsayed
10.5120/ijca2022921888

Salma Elsayed . Predictive Analytics for Stock Prices using Sentiment Analysis. International Journal of Computer Applications. 183, 48 ( Jan 2022), 32-37. DOI=10.5120/ijca2022921888

@article{ 10.5120/ijca2022921888,
author = { Salma Elsayed },
title = { Predictive Analytics for Stock Prices using Sentiment Analysis },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2022 },
volume = { 183 },
number = { 48 },
month = { Jan },
year = { 2022 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number48/32256-2022921888/ },
doi = { 10.5120/ijca2022921888 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:15:17.597982+05:30
%A Salma Elsayed
%T Predictive Analytics for Stock Prices using Sentiment Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 48
%P 32-37
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Stock prediction is consider one of the most popular tasks in the last decade. Stock prediction can be achieved through the analysis of the numerical values (e.g., open price and close price) or the sentiment analysis of social media text (e.g., tweets). In this paper, we will discuss the several approach of stock prediction using sentiment analysis methods. These methods can be classified into four main categories, namely, machine learning, lexicon, graph, and hybrid based methods. Besides, we discussed the basic tools used to help in the task of sentiment analysis such as Term Frequency Inverse Document Frequency and word2cev algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Stock price stock market sentiment analysis stock movement sentiment classification machine learning graph based lexicon based hybrid.

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