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This article proposes a method to refine pre-trained embeddings with emotional and sentimental content. To this end, a Multi-output Neural Network is proposed to learn emotions and sentiments simultaneously. The resulting embeddings are tested in emotion classification and sentiment analysis tasks, showing an improvement compared with the pre-trained vectors and other proposes in the state-of-the-art for fine-grained emotion classification.<\/jats:p>","DOI":"10.3233\/jifs-219354","type":"journal-article","created":{"date-parts":[[2024,4,19]],"date-time":"2024-04-19T12:53:38Z","timestamp":1713531218000},"page":"372-379","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Refinement of word embeddings with sentiment content using multi-output neural networks"],"prefix":"10.1177","volume":"50","author":[{"given":"C.","family":"Mart\u00edn-del-Campo-Rodr\u00edguez","sequence":"first","affiliation":[{"name":"Instituto Polit\u00e9cnico Nacional (IPN), Centro de Investigaci\u00f3n en Computaci\u00f3n (CIC), Av. 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