Corona Virus (COVID-19) Geolocation-based Sentiment Data

This dataset contains the geolocation-based sentiment analysis data. The data is generated by an on-going project deployed at https://live.rlamsal.com.np. The geolocation is extracted from the tweets which mention anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". The longitude and latitude shared in this dataset are the exact ones. That means the user has shared his/her precise location while tweeting. The data is available in four formats: CSV, JSON, SQL and XML. I am sharing this data after receiving an enormous amount of requests from non-technical researchers. If you are someone who is quite comfortable with python and databases, then use "COVID-19 Tweets Dataset" and hydrate the IDs, and add the following condition within your streaming file.if data["coordinates"]:longitude, latitude = data["coordinates"]["coordinates"]