TEXT SUMMARIZATION USING SENTIMENT SCORE WITH SEQUENCE-TO-SEQUENCE

摘要

A sequence-to-sequence-based text summary using emotion scores is disclosed. A language processing method according to an embodiment of the present specification extracts a plurality of sentences from a plurality of documents, generates an emotion score of the plurality of sentences, and extracts at least some of the plurality of sentences based on the emotion score, , by applying the extracted sentences to a pre-trained language model as an input to generate at least one text prediction candidates, it is possible to implement a high-performance language model with little computing resources.