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:
(1) TRAINING INPUT
ID Detail Classification
1 BLOB of text 1 0
2 BLOB of text 2 1
3 BLOB of text 3 0
… … …
(2) UNKNOWNS INPUT
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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