def main():
morpheme_list = nlp_30.mecab_morpheme()
pos_list = []
pos_frequency_list = []
for morpheme in morpheme_list:
pos_list.append(morpheme["surface"])
counter = Counter(pos_list)
rank = 1
cnt_compare = 0
ranking = []
for word, cnt in counter.most_common():
if cnt < cnt_compare:
rank = rank + 1
cnt_compare = cnt
# print rank,":",word, cnt
ranking.append(cnt)
# 単語の出現頻度順位を横軸，その出現頻度を縦軸として，両対数グラフをプロットせよ←R
# print sorted(set(ranking))
# print len(set(ranking))
pos_frequency_list = sorted(ranking, reverse=True)
X = []
for x in xrange(len(ranking)):
# print x
num = x + 1
# print num
X.append(num)
Y = pos_frequency_list
# print X
# print Y
plt.plot(X, Y)
plt.xscale("log")
plt.yscale("log")
plt.show()
def main():
morpheme_list = nlp_30.mecab_morpheme()
verb_surface = set([])
for morpheme in morpheme_list:
if morpheme["pos"] == "動詞":
verb_surface.add(morpheme["surface"])
for verb in verb_surface:
print verb
def main(): morpheme_list = nlp_30.mecab_morpheme() noun_sahen = set([]) for morpheme in morpheme_list: if morpheme["pos"] == "名詞" and morpheme["pos1"] == "サ変接続": noun_sahen.add(morpheme["surface"]) for noun in noun_sahen: print noun
def main(): morpheme_list = nlp_30.mecab_morpheme() word_list = [] for morpheme in morpheme_list: word_list.append(morpheme["surface"]) counter = Counter(word_list) for word, cnt in counter.most_common(10): print word, cnt
def main(): morpheme_list = nlp_30.mecab_morpheme() noun_sahen = set([]) for i in range(1, len(morpheme_list)-1): if morpheme_list[i]["surface"] == "の": if morpheme_list[i-1]["pos"] == "名詞" and morpheme_list[i+1]["pos"] == "名詞": print "------" print morpheme_list[i-1]["surface"] + morpheme_list[i]["surface"] + morpheme_list[i+1]["surface"]
def main():
morpheme_list = nlp_30.mecab_morpheme()
noun_list = []
output_noun_list = []
for i in range(len(morpheme_list)-1):
if morpheme_list[i]["pos"] == "名詞":
noun_list.append(morpheme_list[i]["surface"])
else:
noun_list = []
if len(noun_list) > 1:
if morpheme_list[i+1]["pos"] == "名詞":
pass
else:
for word in noun_list:
output_noun_list.append(word)
output_noun_list.append("\n")
for j in output_noun_list:
print j,
def main(): morpheme_list = nlp_30.mecab_morpheme() pos_list = [] pos_list_word = [] pos_list_cnt = [] for morpheme in morpheme_list: pos_list.append(morpheme["pos"]) counter = Counter(pos_list) for word, cnt in counter.most_common(): # print word, cnt word = unicode(word,encoding='utf-8') pos_list_word.append(word) pos_list_cnt.append(cnt) X =[] for x in xrange(len(pos_list_word)): X.append(x) Y = pos_list_cnt plt.barh(X,Y, align="center") # 中央寄せ plt.yticks(X, pos_list_word) plt.show()
