Project Title - Farmers Protest Tweet Analysis

This activity is for begginers to analyze the huge dataset of Farmers protest tweets which is available on Kaggle. The dataset has CSV data for English tweets with the hashtag #FarmersProtest.

Objective

This exercise might benefit begginers in Data Science field who can utilize the work done as a real world example of Data Analysis process. As a part of our activity we will

• Get answers to our questions with supported data
• Perform sentiment analysis and figure out the inclination of public towards this issue

Tools and Technologies used

• Python 3
• Data Science libraries - Pandas, numpy, matplotlib, seaborne
• Google Colab for interactive jupyter notebook
• jovian - publishing forum

Step 1 - Downloading the dataset

We will use opendatasets, a special library developed by jovian team to download datasets from Kaggle using python program. We will first install opendatasets library using pip and write a short code to download our data files in local directory.

• Get the URL of free dataset from Kaggle
• Provide your username and API Key for successful authentication of your Kaggle account