Working on Sentiment Analysis using NLP and finding out #SentimentIntensityAnalyzer more influential than #TextBlob

Is there any feature of data or dataset applying on whom may increase the accuracy of TextBlob than that of SentimentIntensityAnalyzer?

I am working with the dataset of #israelpalestineconflictcommentsonreddit and went through necessary preprocessing and processing to justify a perfect accuracy and precision for SentimentIntensityAnalyzer and TextBlob and found SentimentIntensityAnalyzer to be more influential. Is there any feature that can make TextBlob beat SentimentIntensityAnalyzer?

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