Sentiment-Aware Word Embedding for Emotion Classification

Word embeddings are effective intermediate representations for capturing semantic regularities between words in natural language processing (NLP) tasks. We propose sentiment-aware word embedding for emotional classification, which consists of integrating sentiment evidence within the emotional embed...

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Bibliographic Details
Published in:Applied Sciences
Main Authors: Xingliang Mao, Shuai Chang, Jinjing Shi, Fangfang Li, Ronghua Shi
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Subjects:
emotion classification
sentiment lexicon
text feature representation
hybrid vectorization
sentiment-aware word embedding
Online Access:https://www.mdpi.com/2076-3417/9/7/1334

Internet

https://www.mdpi.com/2076-3417/9/7/1334

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