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Search found 10 results on 1 pages for 'shweta'.

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  • Error in using Hadoop MapReduce in Eclipse

    - by Shweta
    When I executed a MapReduce program in Eclipse using Hadoop, I got the below error. It has to be some change in path, but I'm not able to figure it out. Any idea? 16:35:39 INFO mapred.JobClient: Task Id : attempt_201001151609_0001_m_000006_0, Status : FAILED java.io.FileNotFoundException: File C:/tmp/hadoop-Shwe/mapred/local/taskTracker/jobcache/job_201001151609_0001/attempt_201001151609_0001_m_000006_0/work/tmp does not exist. at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:361) at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:245) at org.apache.hadoop.mapred.TaskRunner.setupWorkDir(TaskRunner.java:519) at org.apache.hadoop.mapred.Child.main(Child.java:155)

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  • ClassNotFoundException error in implementing Bayesian algorithm in Apache Mahout on Hadoop

    - by Shweta
    Hi, I have a problem in executing the Bayesian algorithm in Mahout. I built it with Maven and the job file is in target directory. When run from terminal using hadoop, I'm getting the ClassNotFoundException error. What should be done? $HADOOP_HOME/bin/hadoop jar mahout-core-0.3-SNAPSHOT.job org.apache.mahout.classifier.bayes.mapreduce.bayes.bayesdriver -i test -o output Exception in thread "main" java.lang.ClassNotFoundException: org.apache.mahout.classifier.bayes.mapreduce.bayes.bayesdriver at java.net.URLClassLoader$1.run(URLClassLoader.java:200) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:188) at java.lang.ClassLoader.loadClass(ClassLoader.java:307) at java.lang.ClassLoader.loadClass(ClassLoader.java:252) at java.lang.ClassLoader.loadClassInternal(ClassLoader.java:320) at java.lang.Class.forName0(Native Method) at java.lang.Class.forName(Class.java:247) at org.apache.hadoop.util.RunJar.main(RunJar.java:149)

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  • How to classify NN/NNP/NNS obtained from POS tagged document as a product feature

    - by Shweta .......
    I'm planning to perform sentiment analysis on reviews of product features (collected from Amazon dataset). I have extracted review text from the dataset and performed POS tagging on that. I'm able to extract NN/NNP as well. But my doubt is how do I come to know that extracted words classify as features of the products? I know there are classifiers in nltk but I don't know how I should use it for my project. I'm assuming there are 2 ways of finding whether the extracted word is a product feature or not. One is to compare with a bag of words and find out if my word exists in that. Doubt: How do I create/get bag of words? Second way is to implement some kind of apriori algorithm to find out frequently occurring words as features. I would like to know which method is good and how to go about implementing it. Some pointers to available softwares or code snippets would be helpful! Thanks!

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  • Using a single xcode proj for iphone and ipad- can I use same push notification certificate ?

    - by Shweta
    Hi I am looking for extending my current iphone app for iPad-specific UI. For the same Apple has mentioned 3 ways, however I am using the method where a Single XCODE proj is used for having 2 targets- iphone & iPad. There are a few queries: two binaries will be created , which I can price differently for selling. Will they need 2 have different certificates from Apple ? My app has Push notifications. So will i require 2 different certificates ?

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