Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing

Understand

Forecasting financial market trends through time series analysis and natural language processing poses a complex and demanding undertaking, owing to the numerous variables that can influence stock prices.

• These variables encompass a spectrum of economic and political occurrences, as well as prevailing public attitudes.
• Recent research has indicated that the expression of public sentiments on social media platforms such as Twitter may have a noteworthy impact on the determination of stock prices.
• The objective of this study was to assess the viability of Twitter sentiments as a tool for predicting stock prices of major corporations such as Tesla, Apple.