如何在 Scala 中提取二元组和三元组?
How to extract bigrams and trigrams in Scala?
假设这些是我的文件:
very pleased product . phone lightweight comfortable sound quality good house yard .
quality construction phone base unit good . ample supply cable adapter . plug computer soundcard .
shop unit mail rebate . unit battery pack hold play time strap carr headphone adapter cable perfect digital copy optical. component micro plug stereo connector cable micro plug rca cable .
unit primarily record guitar jam session . input plug provide power plug microphone . decent stereo mic need digital recording performance . mono mode double recording time .
admit like new electronic toy . digital camera not impress .
我想从每个文档的每个句子中提取所有二元组和三元组及其出现次数。
我试过了:
case class trigram(first: String, second: String,third: String) {
def mkReplacement(s: String) = s.replaceAll(first + " " + second + " " + third, first + "-" + second + "-" + third)
}
def stringToTrigrams(s: String) = {
val words = s.split(".")
if (words.size >= 3) {
words.sliding(3).map(a => tigram(a(0),a(1),a(2)))
}
else
Iterator[tigram]()
}
val conf = new SparkConf()
val sc = new SparkContext(conf)
val data = sc.textFile("docs")
val trigrams = data.flatMap {
stringToTrigrams
}.collect()
val trigramCounts = trigrams.groupBy(identity).mapValues(_.size)
但是没有显示八卦?
def stringToTrigrams(s: String) = {
val words = s.split(".")
if (words.size >= 3) {
words.sliding(3).map(a => trigram(a(0),a(1),a(2)))
} else Iterator[trigram]()
}
IIUC,这个函数是把上面的整个文档取出来,然后在“.”上拆分文档。这是你的第一个问题。调用 split(".") 并不像您认为的那样。您实际上是在拆分通配符而不是“。”像你要的那样。将其更改为“\”。然后您会将文档拆分成句子。
完成后,我们需要通过简单地拆分空格来将句子拆分成单词,我建议通过执行 _.split(\s+)
来拆分所有空格。现在您应该能够解析单词并使用如下函数创建三元组:
def stringToTrigrams(s: String) = {
val sentences = s.split("\.")
sentences flatMap { sent =>
val words = sent.split("\s+").filter(_ != "")
if (words.length >= 3)
words.sliding(3).map(a => trigram(a(0), a(1), a(2))
else Iterator[trigram]
}
}
希望对您有所帮助。
假设这些是我的文件:
very pleased product . phone lightweight comfortable sound quality good house yard .
quality construction phone base unit good . ample supply cable adapter . plug computer soundcard .
shop unit mail rebate . unit battery pack hold play time strap carr headphone adapter cable perfect digital copy optical. component micro plug stereo connector cable micro plug rca cable .
unit primarily record guitar jam session . input plug provide power plug microphone . decent stereo mic need digital recording performance . mono mode double recording time .
admit like new electronic toy . digital camera not impress .
我想从每个文档的每个句子中提取所有二元组和三元组及其出现次数。
我试过了:
case class trigram(first: String, second: String,third: String) {
def mkReplacement(s: String) = s.replaceAll(first + " " + second + " " + third, first + "-" + second + "-" + third)
}
def stringToTrigrams(s: String) = {
val words = s.split(".")
if (words.size >= 3) {
words.sliding(3).map(a => tigram(a(0),a(1),a(2)))
}
else
Iterator[tigram]()
}
val conf = new SparkConf()
val sc = new SparkContext(conf)
val data = sc.textFile("docs")
val trigrams = data.flatMap {
stringToTrigrams
}.collect()
val trigramCounts = trigrams.groupBy(identity).mapValues(_.size)
但是没有显示八卦?
def stringToTrigrams(s: String) = {
val words = s.split(".")
if (words.size >= 3) {
words.sliding(3).map(a => trigram(a(0),a(1),a(2)))
} else Iterator[trigram]()
}
IIUC,这个函数是把上面的整个文档取出来,然后在“.”上拆分文档。这是你的第一个问题。调用 split(".") 并不像您认为的那样。您实际上是在拆分通配符而不是“。”像你要的那样。将其更改为“\”。然后您会将文档拆分成句子。
完成后,我们需要通过简单地拆分空格来将句子拆分成单词,我建议通过执行 _.split(\s+)
来拆分所有空格。现在您应该能够解析单词并使用如下函数创建三元组:
def stringToTrigrams(s: String) = {
val sentences = s.split("\.")
sentences flatMap { sent =>
val words = sent.split("\s+").filter(_ != "")
if (words.length >= 3)
words.sliding(3).map(a => trigram(a(0), a(1), a(2))
else Iterator[trigram]
}
}
希望对您有所帮助。