Creating emoji lexica from unsupervised sentiment analysis of their descriptions

arXiv:2404.01439v1 Announce Type: cross
Abstract: Online media, such as blogs and social networking sites, generate massive volumes of unstructured data of great interest to analyze the opinions and sentiments of individuals and organizations. Novel approaches beyond Natural Language Processing are necessary to quantify these opinions with polarity metrics. So far, the sentiment expressed by emojis has received little attention. The use of symbols, however, has boomed in the past four years. About twenty billion are typed in Twitter nowadays, and …

abstract analysis analyze arxiv beyond blogs cs.ai cs.cl cs.lg data emoji generate language language processing massive media metrics natural natural language natural language processing networking novel online media opinions organizations processing sentiment sentiment analysis social social networking type unstructured unstructured data unsupervised