laurakarimova / sentiment-analysis-for-stock-price

This repository presents a semantic analysis algorithm that will allow you to build a correlation between the amount and type of news and a change in the stock price.

Table of Contents

• General Info
• Technologies Used
• Contact

General Information

Sentiment Analysis of Stocks from Financial News using Python

Semantic analysis is a natural language processing technique that allows you to determine whether data is positive, neutral, or negative. Such analysis can be useful for tracking attitudes towards products or brands in customer reviews. Nowadays, customers have learned to openly express their thoughts and feelings, so semantic analysis has become an important tool for monitoring and understanding segments. When it comes to the stock market, you can use sentiment analysis to analyze headlines about a particular stock. From this, you can tell if the price of a stock is moving in a positive or negative direction.

Technologies Used

• Python - version 3.8
• Anaconda - version 2020.11

Contact

Created by @LauraKarimova - feel free to contact me!