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Crypto-Sentiment-Analyzer

There's been a lot of hype in the news lately about cryptocurrency, so we want to take stock, so to speak, of the latest news headlines regarding Bitcoin and Ethereum to get a better feel for the current public sentiment around each coin.

In this report, I have applied natural language processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum. I have also used fundamental NLP techniques to better understand the other factors involved with the coin prices such as common words and phrases and organizations and entities mentioned in the articles.

1 - Sentiment Analysis

Questions:
Q: Which coin had the highest mean positive score?

A: BITCOIN

Q: Which coin had the highest compound score?

A: BITCOIN

Q. Which coin had the highest positive score?

A: BITCOIN

Bitcoin Sentiment Analysis

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Ethereum Sentiment Analysis

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2 - Natural Language Processing

NGrams and Frequency Analysis (n=2)

BITCOIN 10 Most Common

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ETHEREUM 10 Most Common

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WordClouds

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3 - Named Entity Recognition

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Natural Language Processing, Sentiment Analysis, Named Entity Recognition

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