Public Opinion Dataset on X Social Media Regarding the Free Nutritious Meal Program (MBG)

Description

This dataset was used in a study entitled "Classification of Public Opinion on Social Media X regarding the Free Nutritional Meal Program (MBG) with the Implementation of the Support Vector Machine (SVM) Algorithm." Data was collected through a scraping process on social media X using keywords related to the Free Nutritional Meal Program (MBG). Data collection was conducted from November 1, 2025, to January 15, 2026, and yielded 7,462 public opinion data points. This dataset consists of 15 metadata attributes: conversation_id_str, created_at, favorite_count, full_text, id_str, image_url, in_reply_to_screen_name, lang, location, quote_count, reply_count, retweet_count, tweet_url, user_id_str, and username. These attributes contain information related to tweet content, publication time, tweet identity, user interactions, and other supporting information obtained from social media platform X. This dataset was compiled as a research data source to analyze public perceptions of the Free Nutritional Meal Program (MBG). The collected data was then used in text mining stages, including preprocessing, sentiment labeling, feature extraction, and classification using the Support Vector Machine (SVM) algorithm. This dataset is expected to support further research in sentiment analysis, text mining, and machine learning, particularly regarding public opinion on government policies on social media.

Steps to reproduce

-Download the raw scraped X (formerly Twitter) dataset from this repository. -Preprocess the text using case folding, cleaning, tokenization, stopword removal, and stemming. -Label the data automatically using the InSet Lexicon approach to obtain positive, negative, and neutral sentiment classes. -Use the processed dataset for sentiment classification experiments.

Institutions

• University of Bengkulu

  Bengkulu, Bengkulu

Categories

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