print "-------------------------------------------" docs = [] # Load the files for i, f in enumerate(files): sys.stdout.write( "\r%3i/%i %s"%( i+1, nb_files, '{:<70}'.format(f) ) ) sys.stdout.flush() docs.append(Document(f)) corpus = Corpus(docs, termino) print "\n\nCorpus preprocessing" print "-------------------------------------------" corpus.preprocess() print "\n\nExtracting the keywords" print "-------------------------------------------" corpus.process() if Config().testing: print "\n\nResults (%s average)"%("Macro" if config.macro_average else "Micro") print "-------------------------------------------" corpus.results() else: print "\n" if config.save_file != "": print "\nResults saved in %s"%config.save_file corpus.save(config.save_file)