Inflation Research Abstracts Classification

This data set contains scientific papers abstracts from economics inflation. The task is to classify them according to their machine learning methodologies inclusion. Variables Info: This dataset contains economics research abstracts classified based on their use or application of machine learning algorithms. It is part of the analysis presented in the paper Exploring the Impact of Machine Learning and AI on Inflation Prediction: A Bibliometric Approach, published in Studies of Applied Economics, Vol. 43, No. 1 (2025). If you use this dataset, please cite the paper: https://doi.org/10.25115/3g2qqj59. The dataset is formatted in JSON, with the following keys: "DOI", "Abstract", and "Label". The "Label" values are stored as strings but can be converted to integers by removing the quotation marks. Class labels: 1. DOI (text): A unique digital identifier assigned to each article. This field has four missing values. 2. Abstract (text): The abstract of a research article related to inflation in economics. 3. Label (categorical): A binary indicator where 1 denotes that the article relates to machine learning or artificial intelligence methodologies, and 0 indicates that it does not.