Python supervised text classification

This project was awarded to jovchevskaelenaa for $155 USD.

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Project Description

We wish to develop a simple python text classifier running on the Windows 10 platform.

Data will be in tab-separated files with the following format:


ID Detail Classification

1 BLOB of text 1 0

2 BLOB of text 2 1

3 BLOB of text 3 0

… … …


ID Detail

1 BLOB of text 1

2 BLOB of text 2

3 BLOB of text 3

… …


ID Detail Classification Probability

1 BLOB of text 1 0 0.2

2 BLOB of text 2 1 [url removed, login to view]

3 BLOB of text 3 0 [url removed, login to view]

… … … …

(4) FEATURE SELECTION must also be output in a separate file

Each BLOB will be English language text with a maximum of 32,000 characters. We wish to compare the performance of three different classification algorithms. You may propose the three to test in this phase of work.

In your proposal, please indicate the version of Python and any modules that you wish to use for the project.

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