我使用udpipe包中的函数keywords_rake (针对R)从一堆文档中提取关键字。
udmodel_en <- udpipe_load_model(file = dl$file_model)
x <- udpipe_annotate(udmodel_en, x = data$text)
x <- as.data.frame(x)
keywords <- keywords_rake(x = x, term = "lemma", group = "doc_id",
relevant = x$xpos %in% c("NN", "JJ"), ngram_max = 2)其中数据如下所示
Text
"cats are nice but dogs are better..."
"I really like dogs..."
"red flowers are pretty, especially roses..."
"once I saw a blue whale ..."
....(每行是一个单独的文档)
但是,输出不包括关键字的来源,而是提供所有文档的关键字列表
如何将这些关键字链接到它们所取自的相应文档?(即每个文档都有一个关键字列表)
如下所示:
keywords
doc1 dog, cat, blue whale
doc2 dog
doc3 red flower, tower, Donald Trump 发布于 2020-01-28 18:25:09
您可以结合使用txt_recode_ngram和keywords_rake的结果来实现这一点。优点是一切都回到了原始的data.frame,然后你可以选择你需要的东西。请参见下面的示例,使用随udpipe提供的数据集。
免责声明:在udpipe的github页面上,代码从jwijffels在issue 41中的答案中复制。
data(brussels_reviews_anno)
x <- subset(brussels_reviews_anno, language == "nl")
keywords <- keywords_rake(x = x, term = "lemma", group = "doc_id",
relevant = x$xpos %in% c("NN", "JJ"), sep = "-")
head(keywords)
keyword ngram freq rake
1 openbaar-vervoer 2 19 2.391304
2 heel-fijn 2 2 2.236190
3 heel-vriendelijk 2 3 2.131092
4 herhaling-vatbaar 2 6 2.000000
5 heel-appartement 2 2 1.935450
6 steenworp-afstand 2 4 1.888889
x$term <- txt_recode_ngram(x$lemma, compound = keywords$keyword, ngram = keywords$ngram, sep = "-")
x$term <- ifelse(!x$term %in% keywords$keyword, NA, x$term)
head(x[!is.na(x$term), ])
doc_id language sentence_id token_id token lemma xpos term
67039 19991431 nl 4379 11 erg erg JJ erg-centraal
67048 19991431 nl 4379 20 leuk leuk JJ leuk-adres
67070 21054450 nl 4380 6 goede goed JJ goed-locatie
67077 21054450 nl 4380 13 Europese europees JJ europees-wijk
67272 23542577 nl 4393 84 uitstekende uitstekend JJ uitstekend-gastheer
67299 40676307 nl 4396 25 gezellige gezellig JJ gezellig-buurthttps://stackoverflow.com/questions/59934757
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