#!/usr/bin/env python import distsim word_to_ccdict = distsim.load_contexts("nytcounts.4k") ### provide your answer below ###Answer examples; replace with your choices for i, (word, score) in enumerate(distsim.show_nearest(word_to_ccdict, word_to_ccdict['florida'],set(['florida']),distsim.cossim_sparse), start=1): print("{}: {} ({})".format(i, word, score)) for i, (word, score) in enumerate(distsim.show_nearest(word_to_ccdict, word_to_ccdict['teachers'],set(['teachers']),distsim.cossim_sparse), start=1): print("{}: {} ({})".format(i, word, score)) for i, (word, score) in enumerate(distsim.show_nearest(word_to_ccdict, word_to_ccdict['single'],set(['single']),distsim.cossim_sparse), start=1): print("{}: {} ({})".format(i, word, score)) for i, (word, score) in enumerate(distsim.show_nearest(word_to_ccdict, word_to_ccdict['buy'],set(['buy']),distsim.cossim_sparse), start=1): print("{}: {} ({})".format(i, word, score)) for i, (word, score) in enumerate(distsim.show_nearest(word_to_ccdict, word_to_ccdict['week'],set(['week']),distsim.cossim_sparse), start=1): print("{}: {} ({})".format(i, word, score)) for i, (word, score) in enumerate(distsim.show_nearest(word_to_ccdict, word_to_ccdict['china'],set(['china']),distsim.cossim_sparse), start=1): print("{}: {} ({})".format(i, word, score))
#!/usr/bin/env python import distsim word_to_ccdict = distsim.load_contexts("nytcounts.university_cat_dog") for i, (word, score) in enumerate(distsim.show_nearest(word_to_ccdict, word_to_ccdict['dog'], set(['dog']), distsim.cossim_sparse), start=1): print("{}: {} ({})".format(i, word, score))