Sentimental Analysis on COVID-19 Tweets using python

Overzicht

Embark on a journey to master the art of text preprocessing for sentiment analysis with our upcoming project, "Sentimental Analysis on COVID-19 Tweets using Python." This project will provide you with a hands-on experience to analyze and interpret the emotional undertones of tweets related to COVID-19. Utilizing a dataset that encompasses tweets from July 24, 2020, to August 30, 2020, containing #COVID19, you will learn how to leverage Python to categorize these tweets into positive, negative, and neutral sentiments.

This practical approach aims to reveal the general public's reaction to the pandemic during this specific timeframe.

By the conclusion of the project, you will be proficient in text data preprocessing techniques and capable of visualizing the results to understand people's sentiments on Twitter regarding the pandemic.

Designed with North American learners in mind, we are dedicated to extending this enriching learning experience to other regions soon. Whether you're interested in Python, data visualization, or sentiment analysis, this project offered by Coursera under its variety of courses will be a valuable addition to your skill set.

Categories:

Python Courses, Data Visualization Courses, Sentiment Analysis Courses.

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Gegeven door

Ahmad Varasteh

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Vakgebieden