Opinion Mining

Opinion mining, also known as sentiment analysis, aims to automatically extract and categorize subjective information from text, encompassing sentiment polarity (positive, negative, neutral), emotions, and opinions on specific aspects. Current research emphasizes the use of advanced machine learning models, including deep learning architectures like transformers (BERT, RoBERTa, XLNet) and convolutional neural networks, often applied to social media data and customer reviews to analyze diverse topics from political stances to product feedback. This field is crucial for understanding public opinion, improving decision-making in various sectors (e.g., business, healthcare, politics), and advancing natural language processing techniques, particularly in low-resource languages.