Sentiment analysis techniques, challenges, and opportunities: Urdu language-based analytical study.

ABSTRACT: Sentiment analysis in research involves the processing and analysis of sentiments from textual data. The sentiment analysis for high resource languages such as English and French has been carried out effectively in the past. However, its applications are comparatively few for resource-poor languages due to a lack of textual resources. This systematic literature explores different aspects of Urdu-based sentiment analysis, a classic case of poor resource language. While Urdu is a South Asian language understood by one hundred and sixty-nine million people across the planet. There are various shortcomings in the literature, including limitation of large corpora, language parsers, and lack of pre-trained machine learning models that result in poor performance. This article has analyzed and eva

SUBMITTER: Liaqat MI 

PROVIDER: S-EPMC9454799 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature