Event Level Sentiment Analysis

Event-level sentiment analysis focuses on understanding the emotional tone expressed towards specific events within text, moving beyond simple positive/negative classifications to capture nuanced opinions. Current research emphasizes developing robust methods for event extraction and representation, often employing ensemble architectures combining machine and deep learning models, including large language models, to improve accuracy. This field is crucial for analyzing social media, financial news, and other large text corpora to gain insights into public opinion, predict trends, and mitigate risks associated with harmful online activity.