本文整理汇总了Scala中twitter4j.auth.OAuthAuthorization类的典型用法代码示例。如果您正苦于以下问题:Scala OAuthAuthorization类的具体用法?Scala OAuthAuthorization怎么用?Scala OAuthAuthorization使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了OAuthAuthorization类的6个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于我们的系统推荐出更棒的Scala代码示例。
示例1: OAuthUtils
//设置package包名称以及导入依赖的类
package org.iamShantanu101.spark.SentimentAnalyzer.utils
import twitter4j.auth.OAuthAuthorization
import twitter4j.conf.ConfigurationBuilder
object OAuthUtils {
def bootstrapTwitterOAuth(): Some[OAuthAuthorization] = {
System.setProperty("twitter4j.oauth.consumerKey", PropertiesLoader.consumerKey)
System.setProperty("twitter4j.oauth.consumerSecret", PropertiesLoader.consumerSecret)
System.setProperty("twitter4j.oauth.accessToken", PropertiesLoader.accessToken)
System.setProperty("twitter4j.oauth.accessTokenSecret", PropertiesLoader.accessTokenSecret)
val configurationBuilder = new ConfigurationBuilder()
val oAuth = Some(new OAuthAuthorization(configurationBuilder.build()))
oAuth
}
}
开发者ID:iamShantanu101,项目名称:Twitter-Sentiment-Analyzer-Apache-Spark-Mllib,代码行数:20,代码来源:OAuthUtils.scala
示例2: SparkSetup
//设置package包名称以及导入依赖的类
package com.databricks.apps
package twitterClassifier {
import org.apache.spark.SparkContext
import org.apache.spark.sql.SparkSession
object SparkSetup {
val spark = SparkSession
.builder
.appName(getClass.getSimpleName.replace("$", ""))
.getOrCreate()
val sqlContext = spark.sqlContext
val sc: SparkContext = spark.sparkContext
// Suppress "WARN BlockManager: Block input-0-1478266015800 replicated to only 0 peer(s) instead of 1 peers" messages
sc.setLogLevel("ERROR")
}
}
package object twitterClassifier {
import org.apache.spark.mllib.linalg.Vector
import org.apache.spark.mllib.feature.HashingTF
import twitter4j.auth.OAuthAuthorization
import twitter4j.conf.ConfigurationBuilder
val numFeatures = 1000
val tf = new HashingTF(numFeatures)
def maybeTwitterAuth: Some[OAuthAuthorization] = Some(new OAuthAuthorization(new ConfigurationBuilder().build))
def featurize(s: String): Vector = tf.transform(s.sliding(2).toSeq)
}
开发者ID:krish121,项目名称:Spark-reference-applications,代码行数:35,代码来源:package.scala
示例3: TwitterInputDStream
//设置package包名称以及导入依赖的类
package com.aluxian.tweeather.streaming
import org.apache.spark.storage.StorageLevel
import org.apache.spark.streaming.StreamingContext
import org.apache.spark.streaming.dstream.ReceiverInputDStream
import org.apache.spark.streaming.receiver.Receiver
import twitter4j.auth.{Authorization, OAuthAuthorization}
import twitter4j.conf.ConfigurationBuilder
import twitter4j.{FilterQuery, Status}
class TwitterInputDStream(@transient ssc: StreamingContext,
twitterAuth: Option[Authorization],
filterQuery: Option[FilterQuery],
storageLevel: StorageLevel
) extends ReceiverInputDStream[Status](ssc) {
private val authorization = twitterAuth.getOrElse(createOAuthAuthorization())
private def createOAuthAuthorization(): Authorization = {
new OAuthAuthorization(new ConfigurationBuilder().build())
}
override def getReceiver(): Receiver[Status] = {
new TwitterReceiver(authorization, filterQuery, storageLevel)
}
}
开发者ID:cnajeefa,项目名称:Tourism-Sentiment-Analysis,代码行数:29,代码来源:TwitterInputDStream.scala
示例4: TwitterStream
//设置package包名称以及导入依赖的类
package io.gzet.timeseries
import com.google.gson.GsonBuilder
import org.apache.spark.storage.StorageLevel
import org.apache.spark.streaming.twitter.TwitterUtils
import org.apache.spark.streaming.{Minutes, StreamingContext}
import org.apache.spark.{Logging, SparkConf, SparkContext}
import twitter4j.auth.OAuthAuthorization
import twitter4j.conf.ConfigurationBuilder
import scala.util.Try
object TwitterStream extends SimpleConfig with Logging {
def getTwitterStream(ssc: StreamingContext, filters: Seq[String] = Nil) = {
val builder = new ConfigurationBuilder()
builder.setOAuthConsumerKey(twitterApiKey)
builder.setOAuthConsumerSecret(twitterApiSecret)
builder.setOAuthAccessToken(twitterTokenKey)
builder.setOAuthAccessTokenSecret(twitterTokenSecret)
val configuration = builder.build()
TwitterUtils.createStream(
ssc,
Some(new OAuthAuthorization(configuration)),
filters,
StorageLevel.MEMORY_ONLY
)
}
def main(args: Array[String]) = {
val sparkConf = new SparkConf().setAppName("Twitter Extractor")
val sc = new SparkContext(sparkConf)
val ssc = new StreamingContext(sc, Minutes(5))
val twitterStream = getTwitterStream(ssc, args).mapPartitions({ it =>
val gson = new GsonBuilder().create()
it map { s =>
Try(gson.toJson(s))
}
})
twitterStream
.filter(_.isSuccess)
.map(_.get)
.saveAsTextFiles("twitter")
// Start streaming context
ssc.start()
ssc.awaitTermination()
}
}
开发者ID:PacktPublishing,项目名称:Mastering-Spark-for-Data-Science,代码行数:55,代码来源:TwitterStream.scala
示例5: TwitterSentiment
//设置package包名称以及导入依赖的类
import com.databricks.spark.corenlp.functions._
import org.apache.spark._
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions.{current_timestamp, explode}
import org.apache.spark.streaming._
import org.apache.spark.streaming.twitter.TwitterUtils
import twitter4j.auth.OAuthAuthorization
import twitter4j.conf.ConfigurationBuilder
object TwitterSentiment {
System.setProperty("spark.cassandra.connection.host", "127.0.0.1")
def main(args:Array[String]): Unit = {
val conf = new SparkConf().setAppName("TwitterSentiment").setMaster("local[*]")
val spark = SparkSession.builder.config(conf).getOrCreate()
val ssc = new StreamingContext(spark.sparkContext, Seconds(1))
// Create a Twitter Stream for the input source.
val auth = Some(new OAuthAuthorization(new ConfigurationBuilder().build()))
val twitterStream = TwitterUtils.createStream(ssc, auth, Array("trump", "donald"))
val tweets = twitterStream
.filter(tweet => tweet.getLang.equals("en") || tweet.getLang.equals(""))
.map(_.getText())
.map(_.replaceAll("/[^A-Za-z0-9 ]/", ""))
.map(_.replaceAll("/", ""))
.map(_.replaceAll("RT.+?(?=\\s)\\s", ""))
.map(_.replaceAll("https([^\\s]+).*", ""))
tweets.foreachRDD(rdd => {
import spark.implicits._
val df = rdd.toDF()
val output = df.select(cleanxml('value).as('doc))
.select(explode(ssplit('doc)).as('sen))
.select('sen, tokenize('sen).as('words), ner('sen).as('nerTags), sentiment('sen).as('sentiment))
val formated = output
.drop("words")
.drop("nerTags")
.withColumnRenamed("sen", "tweet")
.withColumn("processed_time", current_timestamp())
formated
.write
.mode("append")
.format("org.apache.spark.sql.cassandra")
.options(Map("table" -> "storm_doris", "keyspace" -> "sentiment"))
.save()
})
ssc.start()
// Let's await the stream to end - forever
ssc.awaitTermination()
}
}
开发者ID:jamescross91,项目名称:sentiment-analysis,代码行数:61,代码来源:TwitterSentiment.scala
示例6: OAuthUtils
//设置package包名称以及导入依赖的类
package org.p7h.spark.sentiment.utils
import twitter4j.auth.OAuthAuthorization
import twitter4j.conf.ConfigurationBuilder
object OAuthUtils {
def bootstrapTwitterOAuth(): Some[OAuthAuthorization] = {
System.setProperty("twitter4j.oauth.consumerKey", PropertiesLoader.consumerKey)
System.setProperty("twitter4j.oauth.consumerSecret", PropertiesLoader.consumerSecret)
System.setProperty("twitter4j.oauth.accessToken", PropertiesLoader.accessToken)
System.setProperty("twitter4j.oauth.accessTokenSecret", PropertiesLoader.accessTokenSecret)
val configurationBuilder = new ConfigurationBuilder()
val oAuth = Some(new OAuthAuthorization(configurationBuilder.build()))
oAuth
}
}
开发者ID:P7h,项目名称:Spark-MLlib-Twitter-Sentiment-Analysis,代码行数:20,代码来源:OAuthUtils.scala
注:本文中的twitter4j.auth.OAuthAuthorization类示例整理自Github/MSDocs等源码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。 |
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