Use python to compute the term-frequency matrix for a set of documents.
Use python to compute the term-frequency matrix for a set of documents.
A term frequency matrix is a table, where rows represent documents and columns represent the terms/words. The value in cell (i,j) is the number of times that word j occurs in document i.
To do this, your python program first needs to go through the files in the input folder, where each file is a separate document (thus, the number of documents in the number of files), and build a set of all unique terms across all the documents.
Let’s call this list of terms T, which contains n terms.
Then you’ll need to go through each file/document, and compute the number of times that each of the n words occurs in that document. Doing this, you will produce the term-document matrix.
The program should save this matrix in a file, where each row of the matrix appears on a separate line, and all terms occurrence frequencies are separated by commas.
The folder with the documents, representing movie reviews, is included in the assignment.
This is NOT a group project. I will fail automatically any submission which looks like another’s.
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