Polarity classification results for all collections with VERY-POS lexicon, in terms of precision (Ppos), recall (Rpos) and F1pos scores for most positive (MP) and other (NMP) documents.
收藏Figshare2018-05-25 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Polarity_classification_results_for_all_collections_with_VERY-POS_lexicon_in_terms_of_precision_P_sub_i_pos_i_sub_recall_R_sub_i_pos_i_sub_and_F1_sub_i_pos_i_sub_scores_for_most_positive_MP_and_other_NMP_documents_/6357776
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资源简介：
The best F1pos for the most positive class in each dataset is highlighted (in bold).
创建时间：
2018-05-25
