jharvey09 / solana_sentinment_analysis

For this analysis, we used computational linguistics and biometrics to systematically identify the trend using various news articles and closing prices using the "CoinGecko CSV & Crypto News API"!

Solana Sentinment Analysis

Team Members

• Nicholas DePalma
• Ryan Dibeler
• Kate Peskova
• Jamel Harvey

Project Description

A look into various machine learning models, using natural language processing and classification to predict price action.

Research Questions to Answer

• What is the historical daily sentiment of Solana?
• What is the historical daily closing price for Solana?
• How can daily sentinment be used to predict the price action of Solana?

Datasets Used

• Articles pulled from Crypto News API
• Closing prices pulled from CoinGecco

Models Used

• Balanced Random Forrest Classifier
• Easy Ensemble Classidescentfier
• Stochastic Gradient

Breakdown of Tasks

• Use the news API to gather data for articles related to Solona dating back from April 2021
• Perform a sentinment analysis and set parameters for a binary score to classify positive and negative sentinment
• Concatenate all data into a single dateframe
• Train the data and test each model
• Evaluate the results