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资源简介：
High vs. low empathy tri-grams.
应用场景：
创建时间：
2015-12-08
相关数据集
LIWC Personal Concerns.
Class S and Class D users differ significantly (Bonferroni-corrected p 10% are in bold.
Figshare2016-09-29 更新30
Incidence & Evidence Data
Code, text files, digitised Oras / Timberlake tables, and classification outputs, from "Incidence and Evidence" stylometry paper.
Figshare2025-06-17 更新10
Confusion Matrix for Features: [‘avg_nouns’, ‘do you consider yourself an introvert’, ‘is there anything you regret’, ‘what’s one of your most memorable experiences’, ‘when was the last time you felt really happy’] with parameters: kernel = rbf, gamma = 0.1, C = 10.
Confusion Matrix for Features: [‘avg_nouns’, ‘do you consider yourself an introvert’, ‘is there anything you regret’, ‘what’s one of your most memorable experiences’, ‘when was the last time you felt
NIAID Data Ecosystem00
Classification results for vocabulary richness measures, network global features, motifs size three and motifs size four as translator stylometry features for the 1st corpus.
Classification results for vocabulary richness measures, network global features, motifs size three and motifs size four as translator stylometry features for the 1st corpus.
NIAID Data Ecosystem20
Classification results for applying ranking to motifs of size three and vocabulary richness as translator stylometry features for the 2nd corpus.
Classification results for applying ranking to motifs of size three and vocabulary richness as translator stylometry features for the 2nd corpus.
Figshare2019-02-08 更新00
