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Readme.txt
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Big Data CS649 Project
Analysis of historical Trend, Price Prediction and predicting influence of tweets over various cryptocurrencies
Members:
1. Kavya Onkarappa Sunanda Lnu (RedID: 825893660)
2. Sachin Kumar (RedID: 823431551)
Abstract:
Cryptocurrecy being one of the trending topic nowadays, we wanted to see the history of different crypto coins. Build a ML model to predict a Crypto currency price and
also to see how social media like twitter had it's impact on cryptocurrency price.
Objective :
1. Analysing the trend of crypto currency for the last few years. Plotting different garphs to see how volume, price etc of different crypto coins changed over time.
2. Cryptocurrency price Prediction using Deep learning. (ML model used - LSTM, Keras and tensorflow.)
3. Analysis of social media on the crypto prize. Sentiments using few keywords in the tweets and relate with the currency price. Positive, negative or neutral emotions.
4. Our main focus would be on Twitter and Bitcoin.
Datasets :
1. Cryptocurrency dataset: https://www.kaggle.com/kaushiksuresh147/top-10-cryptocurrencies-historical-dataset
a. Contains nearly 11 Cryptocurrency coin information
b. Start date is different for different coins but end date is 25 April, 2021. Most of the coins have atleast 5 year data.
2. Tweets dataset : https://www.kaggle.com/alaix14/bitcoin-tweets-20160101-to-20190329
a. Contains all the bitcoin tweets
b. date range is from 2016-Jan-01 to 2019-March-29
Special Library/Packages installed :
TextBlob
pip install -U textblob
https://textblob.readthedocs.io/en/dev/install.html
Language detector and translator
pip install google_trans_new
https://github.com/lushan88a/google_trans_new
Keras and tensorflow were used to develop LSTM model
pip install keras
pip install tensorflow
Chalenges :
Not able to install few packages on windows like whatthelang
Language Prediction https://github.com/indix/whatthelang
pip install -r requirements.txt
pip install whatthelang
Google translator stopped translating the tweets after certain time with below error.
Error - "Our systems have detected unusual traffic from your computer network"
What we learnt:
1. First and foremost thing, both us didn't have any idea about cryptocurrency. We got learn about those through this project.
2. Could explore and learn to plot different type of impressive graphs.
3. Learnt how to train and test accuracy of a Machine learning model
4. Learnt how to handle large datasets.
5. Various methods and properties in Pandas.
6. Sentiment analysis through text and many more.