SENTIMENT ANALYSIS OF CRYPTOCURRENCY TWEETS: PREDICTING BITCOIN MARKET SENTIMENT AND PRICE MOVEMENTS USING MACHINE LEARNING
Final report
Has Final Reports
Sentiment Analysis
All the Sentiment Analysis under four files as below, all the codes and dataset is saved under this folder
01_BitcoinTweets_SentimentAnalysis_Data
Tweets Dataset
Bitcoin Dataset
Tweets Cleaning
Sentiment Analysis with VADER
Sentiment Analysis with TextBlob
Data Preparation for Analysis
02_BitcoinTweets_SentimentAnalysis_EDA
Data Description
Analyzing Null/NAN values
Statistics Summary
Univariate Analysis
Bivariate Analysis
Data visualization
Feature engineering
Scaling and Encoding
Correlation analysis
Outlier and anomaly detection
Word Cloud
Sentiment Analysis Vs Price [Close]
Sentiment Analysis Vs Price Change Delta
03_BitcoinTweets_SentimentAnalysis_Classification_Sentiment
Classification Modeling on Sentiment Prediction
Feature Extraction
Naive Bayes
Support Vector Machines (SVM)
Random Forest
Logistic Regression
Gradient Boosting
Cross Validation of Models
Hyperparameter Tuning
Model TPOT
04_BitcoinTweets_SentimentAnalysis_Price_and _Delta Prediction
Classification Modeling on Price Prediction based on sentiment.
Linear Regression
Decision Tree Regressor
Random Forest Regressor
Support Vector Regressor
Gradient Boosting Regressor
Neural Network Regressor (MLP)
Cross Validation of Models
Hyperparameter Tuning
Time Series Prediction : Five various Cryptocurrencies based on Historical Data
Codes
Has all Time Series Codes
Dataset
Has all the Time Series Dataset
https://github.com/Amarpreet3/CIND-820-CAPSTONE/tree/main/Codes
EDA
Models, Evaluation, Cross Validation and Predictions:
LSTM
SMA_ES
ARIMA
Prophet