Problem 1 [30 points]. Write a (Python) program that preprocesses a
collection of documents using the recommendations given in the
Text Operations lecture. The input to the program will be a directory
containing a list of text files. Use the files from assignment #3 as
test data as well as 10 documents (manually) collected from news.yahoo.com .
The yahoo documents must be converted to text before using them.
Remove the following during the preprocessing:
- stop words (use the generic list available at ...ir-websearch/papers/english.stopwords.txt)
- urls and other html-like strings
- morphological variations
Above mentioned assignment 3# file is also attached and by running this code in anaconda spider you can see the output
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