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The client has made the following changes to the job.
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The client prefers freelancers from
a different location.
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
2. In Python
3. In R
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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