Tales From the Crypto

NLP analysis on latest news articles featuring Bitcoin and Ethereum.

Here are the main language processing techniques used:

1. Sentiment Analysis
2. N-Grams and Frequency Analysis
3. Word Clouds
4. Named Entity Recognition

All news articles have been pulled from newsapi.

Source Code

crypto_sentiment.ipynb

Sentiment Analysis

Which coin has the Highest Mean Positive Score?

ETH, with a mean positive score of 0.064550

Which coin has the Highest Negative Score?

BTC, with a max negative score of 0.229000

Which coin had the Highest Positive Score?

ETH, with a max positive score of 0.299000

Which coin had the highest compound score?

BTC, with a max compound score of 0.857300

Natural Language Processing

N-grams

Bitcoin: Top 10 words

Word	Count
bitcoin	43
cryptocurrency	19
crypto	13
new	13
world	12
president	12
city	11
el	10
salvador	10
market	10

Ethereum: Top 10 words

Word	Count
cryptocurrency	30
bitcoin	26
crypto	23
ethereum	20
market	20
cryptocurrencies	19
price	15
year	12
nft	12
new	12

Note: lemmatizer was not able to lemmatize "cryptocurrencies"

Bitcoin World Cloud

Ethereum World Cloud

Named Entity Recognition

Bitcoin

Spacy visualization:

Top 10 list of entities:

Details about list of entities:

Ethereum

Spacy visualization:

Top 10 list of entities:

Details about list of entities: