saving cleaned, unified csv for text modeling
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@ -184,3 +184,9 @@ rm 062725_c3_title_cleaned.csv
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ls
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ls
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ls ../case2
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ls ../case2
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ls ../case1
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ls ../case1
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ls
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cd ~
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ls
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cd p2
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ls
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pwd
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151688
p2/071425_master_discussion_data.csv
Normal file
151688
p2/071425_master_discussion_data.csv
Normal file
File diff suppressed because one or more lines are too long
@ -80,6 +80,8 @@ c3_input_df <- c3_input_df %>%
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# Combine the dataframes into one
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# Combine the dataframes into one
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combined_df <- bind_rows(c1_input_df, c2_input_df, c3_input_df)
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combined_df <- bind_rows(c1_input_df, c2_input_df, c3_input_df)
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#write.csv(combined_df, "~/p2/071425_master_discussion_data.csv", row.names = FALSE)
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modal_verbs <- c("can", "could", "may", "might", "must", "shall", "should", "will", "would", "ought")
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modal_verbs <- c("can", "could", "may", "might", "must", "shall", "should", "will", "would", "ought")
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modal_subset <- c('should', 'ought', 'must')
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modal_subset <- c('should', 'ought', 'must')
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whatever_subset <- c('user')
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whatever_subset <- c('user')
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