HIGHLIGHTS
SUMMARY
Sentimental analysis is one of the popular machine_learning approaches that support the identification of feelings. The authors described the design phases of an ML-based classifier for detecting the failure rates in assessing a trained recurrent deep neural_network (RNN). And positive neutral, adverse, 3 negative, neutral, and positive 3 and positive negative, neutral, 3 and Strengths both positive 1 to 5 for positive and positive and negative -1 to -5 for negative Strengths both positive 1 to 5 for positive and Neutral, excellent, and and negative -1 to -55 for negative very negative. On . . .
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