Global Sensitivity Analysis for Sentiment Analysis of Bengali Text
Mohammed Gomez
Corresponding
University of Sao Paulo
Abstract
Public concern over environmental degradation has sharpened the focus on sentiment analysis of Bengali text within mining and mineral processing. The proposed approach combines global sensitivity analysis with laboratory measurements to improve predictive accuracy. Detection accuracy reached 57%, substantially exceeding that of existing techniques. Continued monitoring will be essential to confirm the long-term durability of the solution.
Keywords:
sentiment analysis of Bengali textglobal sensitivity analysisphotovoltaic systemwater qualitysolid waste managementblockchain
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