问题描述
使用此方法可以查看每个单词的引理:
library(spacyr)
df <- data.frame(body = c("model for receiving"),id = c(132))
df$body <- as.character(df$body)
df$id <- as.character(df$id)
spacy_parse(structure(df$body,names = df$id),lemma = TRUE,pos = TRUE)
但是,当使用以下代码段再次使用新的引理词创建输入数据帧时,它会产生输入结果,而不是
df2 <- spacy_parse(structure(df$body,pos = TRUE) %>%
mutate(id = doc_id) %>%
group_by(id) %>%
summarize(body = paste(lemma,collapse = " "))
预期结果:
df <- data.frame(body = c("model for receive"),id = c(132))
解决方法
对我来说很好:
R.Version()$version.string
## [1] "R version 4.0.2 (2020-06-22)"
df <- data.frame(
body = c("model for receiving"),id = c(132),stringsAsFactors = FALSE
)
library("dplyr",warn.conflicts = FALSE)
library("spacyr")
spacy_initialize()
## Found 'spacy_condaenv'. spacyr will use this environment
## successfully initialized (spaCy Version: 2.3.2,language model: en_core_web_sm)
## (python options: type = "condaenv",value = "spacy_condaenv")
spacy_parse(structure(df$body,names = df$id),lemma = TRUE,pos = TRUE
) %>%
mutate(id = doc_id) %>%
group_by(id) %>%
summarize(body = paste(lemma,collapse = " "))
## `summarise()` ungrouping output (override with `.groups` argument)
## # A tibble: 1 x 2
## id body
## <chr> <chr>
## 1 132 model for receive