I want an implementation of a basic sentiment classifier on a set of text files.
The attached files represent news, speeches, whatever. A whole bunch of text.
For example, on Sept. 13, there is one speech transcript.
The output would be something like the following:
13 Sept 12: 65%
Where the percentage is some characterization of the positive or negative communication inherent in the document. This would probably be done by a binary read of the sentences.
The weather looks good.
The weather outlook is bad.
13 Sept 12: 50% ... would be the result from those two sentences.
I want to do that for each sentence within each document.
I want a summary by document in a spreadsheet.
The implemented algorithm should be either Sentaword net )[url removed, login to view]), OpinionFinder ([url removed, login to view]) or both.
The task of processing the texts against the SentiWordNet word base looks clear. What environment should the script be run in? Please see the private message for the summary.
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Hello, I'm working in the field of natural language processing and data mining. It will be the right task for my expertise. Thank you, Arthur
Hello, sir. I would love to work for you. Thank you very much.