TF-IDF-based sentence selection lets a Marathi BERT classifier match full-article accuracy using about 40 percent of the text.
An improved text sentiment classification model using tf-idf and next word negation, 2020
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Improving the Efficiency of Long Document Classification using Sentence Ranking Approach
TF-IDF-based sentence selection lets a Marathi BERT classifier match full-article accuracy using about 40 percent of the text.