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Sentiment Analysis on Distance Learning During Covid-19 Using K-Nearest Neighbor

This project was made for my thesis with the same title. I implemented the K-Nearest Neighbor method to conduct sentiment analysis on Twitter regarding distance learning during Covid-19. The data used in this project was collected using TAGS (Twitter Archiving Google Sheet) from February to June 2021, using the keyword #pembelajaranjarakjauh. The accuracy of the classification trial with the best model is 74.38%.

The Indonesian abbreviation dictionary, stopwords dictionary and the KNN model used for this project has been omitted for data confidentiality.

Here's a link to my thesis, uploaded on Gunadarma Repository.