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Analysis

This article presents a research study on sentiment analysis, focusing on language independence. The use of distant supervision suggests an attempt to overcome the limitations of labeled data in resource-poor languages. The case study approach, focusing on English, Sepedi, and Setswana, allows for a comparative analysis of the method's effectiveness across different language families and resource availability.
Reference

The article likely explores how distant supervision, which uses readily available data (e.g., from the web) to label sentiment, can be applied effectively across multiple languages, including those with limited labeled data.