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Typical Background: An academic researcher from a social science faculty with a large corpus of texts in their respective field (e.g., legal studies, sociology, history, etc.).
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Wants: to explore their texts and find suggestions for recurring patterns in it. This is an interactive process, once they find some pattern in the data, they start to form a quantiative question about the data that they want to answer. Typically interested in good coverage -- would like to extract all
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def is_concordant_strict(pair, ls1, ls2): | |
""" | |
Given a pair of indices, check if ls1 and ls2 agree | |
on their ranking, if either is a tie, return False. | |
""" | |
i1, i2 = pair | |
return ( (ls1[i1] > ls1[i2]) and (ls2[i1] > ls2[i2])) or \ | |
( (ls1[i1] < ls1[i2]) and (ls2[i1] < ls2[i2])) or \ | |
( (ls1[i1] == ls1[i2]) and (ls2[i1] == ls2[i2])) |
Git is an awesome tool 😄
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