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https://issues.apache.org/jira/browse/MAPREDUCE-7400?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Meetu Patel updated MAPREDUCE-7400:
-----------------------------------
    Description: 
I am looking to add a new map reduce example, i.e, sentiment analysis. 
Sentiment analysis map reduce job helps in determining the sentiment score for 
a user. It takes each tweet made by an user and assigns a sentiment score for 
that tweet/sentence for a particular user and then aggregates the sentiment 
scores for all tweets made by all users.

This example takes the twitter dataset which contains users and the tweets made 
by users and gives the output as <username, sentiment score>. For each user, 
the sentiment score is calculated for all the tweets made by that particular 
user. 

This mapreduce examples takes in two input files - input twitter dataset and a 
file containing list of words.
The word list file contains positive, negative and negation words which are 
used to give a sentiment score to the words in tweets.

You can use command:
bin/hadoop jar /HADOOP_PATH/share/hadoop/mapreduce/mapreduce-examples.jar 
sentimentanalysis <input file/dir path> <output dir path> <word list file 
path/dir path>

For example, you can use the sample files and run the above command as:
bin/hadoop jar /HADOOP_PATH/share/hadoop/mapreduce/mapreduce-examples.jar 
sentimentanalysis sample_data.txt <output dir path> sample_words.txt

  was:
I am looking to add a new map reduce example, i.e, sentiment analysis. 
Sentiment analysis map reduce job helps in determining the sentiment score for 
a user. It takes each tweet made by an user and assigns a sentiment score for 
that tweet/sentence for a particular user and then aggregates the sentiment 
scores for all tweets made by all users.

You can use command:
bin/hadoop jar /HADOOP_PATH/share/hadoop/mapreduce/mapreduce-examples.jar 
sentimentanalysis <input file/dir path> <output dir path> <word list file 
path/dir path>

For example, you can use the sample files and run the above command as:
bin/hadoop jar /HADOOP_PATH/share/hadoop/mapreduce/mapreduce-examples.jar 
sentimentanalysis sample_data.txt <output dir path> sample_words.txt


> New Map Reduce Example - Simple Sentiment Analysis
> --------------------------------------------------
>
>                 Key: MAPREDUCE-7400
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-7400
>             Project: Hadoop Map/Reduce
>          Issue Type: Test
>          Components: examples
>            Reporter: Meetu Patel
>            Priority: Minor
>              Labels: in-progress, patch-available
>         Attachments: MAPREDUCE-7400.patch, sample_data.txt, sample_words.txt
>
>
> I am looking to add a new map reduce example, i.e, sentiment analysis. 
> Sentiment analysis map reduce job helps in determining the sentiment score 
> for a user. It takes each tweet made by an user and assigns a sentiment score 
> for that tweet/sentence for a particular user and then aggregates the 
> sentiment scores for all tweets made by all users.
> This example takes the twitter dataset which contains users and the tweets 
> made by users and gives the output as <username, sentiment score>. For each 
> user, the sentiment score is calculated for all the tweets made by that 
> particular user. 
> This mapreduce examples takes in two input files - input twitter dataset and 
> a file containing list of words.
> The word list file contains positive, negative and negation words which are 
> used to give a sentiment score to the words in tweets.
> You can use command:
> bin/hadoop jar /HADOOP_PATH/share/hadoop/mapreduce/mapreduce-examples.jar 
> sentimentanalysis <input file/dir path> <output dir path> <word list file 
> path/dir path>
> For example, you can use the sample files and run the above command as:
> bin/hadoop jar /HADOOP_PATH/share/hadoop/mapreduce/mapreduce-examples.jar 
> sentimentanalysis sample_data.txt <output dir path> sample_words.txt



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