Sentiment Analysis Bot for Price Prediction

1         The Problem

To develop a price prediction AI, that would go through Tweets and predicting future price movement based on a sentiment of a tweet. Besides Twitter, it should also be analysing news that are crypto-related, and predicting the price based on the sentiment in the article.

2         Data Sources

1. www.twitter.com
   • Require keywords to search tweets [Client input]
   • To extract tweets
2. News Websites
   • Require websites [Client input]
   • To collect news for bitcoins
3. Bitcoin Historical Prices
   • Require website [Client input]
   • To collect historical bitcoin prices

3         Methodology

1. Data Collection
   • Collect data from all source
   • Clean and transform data for analytics ready
2. NLP
   • Perform NLP to extract keywords from the tweets and news articles
   • Extract key drivers / topics
   • Compute and save NER, topics over time
   • Prepare independent variables from both sources
3. Hypothesis
   • Independent variables are variables computed from tweets, sentiments, news articles, NER, and deep learning models
   • Dependent variable is Historical Bitcoin Prices
4. Predictive AI
   • Train the models with independent variables and dependent variables
   • Test the model
   • Validate the model
5. Predictive AI Tool
   • Prepare functions to collect, clean and process the data to build the independent variables in real time
   • Predict the bitcoin prices in Realtime

4         Deliverable

Predictive AI tool

5         Programming

Python