Constructing Colloquial Dataset for Persian Sentiment Analysis of Social Microblogs

arXiv:2306.12679v2 Announce Type: replace
Abstract: Introduction: Microblogging websites have massed rich data sources for sentiment analysis and opinion mining. In this regard, sentiment classification has frequently proven inefficient because microblog posts typically lack syntactically consistent terms and representatives since users on these social networks do not like to write lengthy statements. Also, there are some limitations to low-resource languages. The Persian language has exceptional characteristics and demands unique annotated data and models for the sentiment analysis task, which are distinctive …

abstract analysis arxiv classification consistent cs.cl data dataset data sources introduction mining networks opinion regard rich data sentiment sentiment analysis social social networks terms type websites