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Apply natural language processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum.

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Sentiment Analysis for Cryptocurrencies

In this assignment, I was asked to apply natural language processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum. Moreover, I had to understand the other factors involved with the coin prices such as common words and phrases, organizations, and entities mentioned in the articles by using the following techniques:

  1. Sentiment Analysis
  2. Natural Language Processing
  3. Named Entity Recognition

BTC Describe

ETH Describe

The Sentiment Analysis of Bitcoin and Ethereum News indicates that Bitcoin outperformed Ethereum by having the highest average score at 0.051. Moreover, it also receives a higher positive score and compound score. Below are the Word Cloud representing the keywords that frequently appeared in the latest articles of these cryptocurrencies.

BTC Describe

ETH Describe

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Apply natural language processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum.

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