def mutual_information_similarity(file_name):
"""
Calculates MI between all pairs of short_genre based on their word's MI.
Prints to file the similarity
:return:
"""
from sklearn.metrics.pairwise import cosine_similarity as cos_sim
import math
SimilarityScore = collections.namedtuple("SimilarityScore", ("g1", "g2", "score")) # a type
# fetch all short genres
mi_coll = MutualInformation()
# all possible pairs of genre with no repeat
genres = []
# calculate cosine similarity b/w pairs
dv = DictVectorizer()
def extract_bow_add_to_genres(genre, bow):
if genre not in genres:
genres.append(genre)
new_bow = {}
for k in bow.keys():
curr = bow[k]
new_bow[k] = 0 if math.isnan(curr) or math.isinf(curr) else curr
new_bow == 0 and print("Eliminated element")
return new_bow
bow_matrix = dv.fit_transform(
extract_bow_add_to_genres(mi_obj.short_genre, mi_obj.bow) for mi_obj in mi_coll.iterable()
)
print("Done with making vector")
# sort the pairs by the cosine similarity score
similarity_matrix = cos_sim(bow_matrix)
print("Done with similarity calculation")
sorted_list = []
# sort the similarity scores
for x, y in itertools.combinations(range(0, len(genres)), 2):
sorted_list.append(SimilarityScore(genres[x], genres[y], similarity_matrix[x][y]))
# sort!
sorted_list = sorted(sorted_list, key=operator.itemgetter(2), reverse=True)
print("printing file")
with open(file_name, mode="a", errors="ignore", encoding="latin-1") as file:
for l in sorted_list:
file.write("{}, {} value: {}\n".format(l[0], l[1], l[2]))
def get_all_mi_and_plot(reversed=False):
"""
Grab all mutual information data from the database collection MutualInformation and plot them with matlibplot
:return: None!
"""
# graphics.plot_save_all_genre()
mi = MutualInformation()
for mi_obj in mi.iterable():
genre = mi_obj["short_genre"]
bow_mi = mi_obj["bow"]
filtered_bow_mit = {}
for k, v in bow_mi.items():
if not k.isdigit():
filtered_bow_mit[k] = v
plt = graphics.plot_word_frequency(genre, filtered_bow_mit, reversed=reversed)
graphics.save_fig("graphs/{}.pdf".format(("reversed_" if reversed else "") + genre.replace("/", "_")), plt)
print(genre)
