Extracting Emotion Phrases from Tweets using BART

arXiv:2403.14050v2 Announce Type: replace-cross
Abstract: Sentiment analysis is a natural language processing task that aims to identify and extract the emotional aspects of a text. However, many existing sentiment analysis methods primarily classify the overall polarity of a text, overlooking the specific phrases that convey sentiment. In this paper, we applied an approach to sentiment analysis based on a question-answering framework. Our approach leverages the power of Bidirectional Autoregressive Transformer (BART), a pre-trained sequence-to-sequence model, to extract a phrase from …

abstract analysis arxiv bart cs.cl cs.lg emotion extract however identify language language processing natural natural language natural language processing paper processing sentiment sentiment analysis stat.ap text tweets type