Salinger

m = MeCab::Tagger.new "-Ochasen -u lib/wikipedia_user.dic"
mecab_str = m.parse(string)

c = CaboCha::Parser.new "-f4 -I1"
lines = c.parseToString(mecab_str).force_encoding("UTF-8")

Salinger

library(ggplot2) # For Plot
library(kernlab) # For SVM

auth = read.table("./CodeIQ_auth.txt",header=F,sep=" ")
names(auth) <- c("volume","weight","truth") # 0 is Fake

my_coins = read.table("./CodeIQ_mycoins.txt",header=F,sep=" ")
names(my_coins) <- c("volume","weight")

g = ggplot(auth,aes(x=volume,y=weight)) + geom_point(aes(color=truth))

Salinger

#!/usr/bin/env python                                                                                     
#-*- coding:utf-8 -*-                                                                                     

from svm import *
from svmutil import *

# For learning                                                                                            
t_label = [1,-1,1,-1]
t_data = [
    [1.0, 2.0, 3.0],

Salinger

#!/usr/bin/env python                                                                                                                                           
#-*- coding:utf-8 -*-                                                                                                                                           
import MeCab

m = MeCab.Tagger("-Ochasen")
string = u"それサバンナでも同じ事言えんの？"

# MeCabでUnicode文字列を扱う場合は、一度エンコードする必要がある。                                                                                              
# この際、                                                                                                                                                      
# node = tagger.parseToNode(string.encode("utf-8"))