Step by Step: Twitter Sentiment Analysis in Python

Step by Step: Twitter Sentiment Analysis in Python

It is no longer difficult to understand what people think about a topic by analysing the tweets shared by people. Sentiment analysis is one of the most popular use cases for NLP (Natural Language Processing).

It is no longer difficult to understand what people think about a topic by analysing the tweets shared by people. Sentiment analysis is one of the most popular use cases for NLP (Natural Language Processing).

In this post, I am going to use Tweepy, which is an easy-to-use Python library for accessing the Twitter API. You need to have a Twitter developer account and sample codes to do this analysis. You can find the Jupyter Notebook code in my Github Repository.

The aim of this post is to analyse what people think about the second lockdown in London.

python nlp text-mining data-science

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