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Text classification/sentiment analysis
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IT & Programming > Data Analysis

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The client has made the following changes to the job.

Description
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Job awarded.

Sep 5, 2014
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Job Description

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  • Posted: Fri, Aug 22, 2014
  • Time Left: Closed
  • Location: Anywhere
  • Client prefers freelancers from:
    Anywhere

    You are still able to submit a proposal for this job.

    The client prefers freelancers from
    a different location.

    You're still able to submit a proposal for this job, regardless of your location.
  • Start: Immediately
  • Budget: $50 - $80
  • Fixed Price Job
  • Elance Escrow Protection
  • W9 Not Required
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The task involves:

1. classifying a set of tweets as positive or negative (all in English)
2. classifying a set of tweets as belonging to a set of categories, the names of the categories I will supply

I can accept proposals that implement this work as one of the following:
1. In RapidMiner version 5.3 compatible, providing XML schema
or
2. In Python
or
3. In R
or
4. Manually (note there are approx 250,000 tweets if you are choosing manual classification)

I will supply the tweets as a CSV file.

Please outline what approach you will take to classification e.g. support vector, naive bayes, k-means, manual etc

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Job ID: 61230638
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