Social networks are becoming vital for people to interact with each other, which in turn represent the production of a huge amount of information that can be useful in many contexts (e.g., medicine, natural disasters, commercial purposes, tourism). Nevertheless, analyzing such Big Data for...

Sentiment Analysis (SA) applies Artificial Intelligence (AI) and Machine Learning (ML) techniques to identify and interpret opinions, emotions, and sentiment polarity in text data. This study presents a systematic literature review of SA research published between 2012 and 2024 using a dataset...

The inherent class imbalance within textual data poses a significant challenge for machine learning-based techniques, as the available data often fails to adequately represent all classes. This scarcity of instances can make it even more challenging when there are overlapping regions within...

We identify corporate commitments for reductions of greenhouse gas emissions—green pledges—from news articles using a large language model. About 8% of U.S. firms have made green pledges, and these companies tend to be larger and browner than those without pledges. Announcements of green...

We identify corporate commitments for reductions of greenhouse gas emissions - green pledges - from news articles using a large language model. About 8% of publicly traded U.S. companies have made green pledges, and these companies tend to be larger and browner than those without pledges....