Penerapan BERT dalam Memetakan Opini Pengguna Instagram Terhadap Program Makan Bergizi Gratis

This dataset consists of Instagram comments collected from users in South Sumatra discussing the MBG (Free Lunch Program), obtained through hashtag-based scraping using the keyword #MBG. A total of 14,742 comments were collected from 93 Instagram posts published between February 15, 2025, and October 12, 2025. The data collection process was conducted using a Python-based web scraping script utilizing the Instagrapi library executed in the Google Colab environment to retrieve publicly available comments associated with the selected hashtag. To ensure data quality, a validation process was performed by removing empty comment entries and ensuring data completeness. The dataset then underwent preprocessing stages including text cleaning, tokenization using NLTK, stopword removal, and stemming using the Sastrawi library. After preprocessing, the dataset size was reduced from 14,742 comments to 14,051 validated comments, which were used as the final dataset for analysis. This dataset can be utilized for sentiment analysis, public opinion monitoring, policy evaluation, and Natural Language Processing (NLP) research, providing empirical insights into community responses toward public welfare programs on social media. Furthermore, the dataset can be continuously reused for future research, comparative studies, and the development of data-driven policy evaluation models, supporting sustainable and long-term analysis of public sentiment trends.