Analysis of Student Sentiment Towards Offline Lectures on Twitter during the COVID-19 Pandemic Transition Period using a CNN Model.
📌 Mined and prepped text data from social media Twitter about offline lectures during the covid-19 transition on Mei 2022 into the dataset, then labeled manually data into positive or negative sentiment.
📌 Used CNN algorithm to build a model that analyzes and classifies sentiments from 1000+ pre-processed tweet data.