r - 使用 R 中的 tm.package 对句子进行文本挖掘
问题描述
我正在使用 R 中的 tm 包。我在一个文件夹中有几个 txt.files 和一个包含 30 个句子的列表。
现在我必须检查我的文件是否包含这些句子。
我现在如何创建一个考虑句子而不是单个单词的程序?
解决方案
下面是一种潜在的方法。此外,您可能希望查看readtext
包,以便在一个函数调用中快速读取整个文件目录作为文本。
library(tidytext)
library(stringr)
sample_text <- "Four score and seven years ago our fathers brought forth on this continent, a new nation, conceived in Liberty, and dedicated to the proposition that all men are created equal. Now we are engaged in a great civil war, testing whether that nation, or any nation so conceived and so dedicated, can long endure. We are met on a great battle-field of that war. We have come to dedicate a portion of that field, as a final resting place for those who here gave their lives that that nation might live. It is altogether fitting and proper that we should do this. But, in a larger sense, we can not dedicate—we can not consecrate—we can not hallow—this ground. The brave men, living and dead, who struggled here, have consecrated it, far above our poor power to add or detract. The world will little note, nor long remember what we say here, but it can never forget what they did here. It is for us the living, rather, to be dedicated here to the unfinished work which they who fought here have thus far so nobly advanced. It is rather for us to be here dedicated to the great task remaining before us—that from these honored dead we take increased devotion to that cause for which they gave the last full measure of devotion—that we here highly resolve that these dead shall not have died in vain—that this nation, under God, shall have a new birth of freedom—and that government of the people, by the people, for the people, shall not perish from the earth."
# this must be lower-case because tidytext will tokenize to lower-case by default
sentence_to_match <- "we are met on a great battle-field of that war."
sentences_df <- tibble(text = sample_text) %>%
unnest_tokens(sentence, text, token = "sentences") %>%
mutate(sentence_match = str_detect(sentence, sentence_to_match))
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