TextBlob實戰之樸素貝葉斯文字分類

1.準備資料集：訓練集和測試集

train =[.

..('i love this sandwich.'
,'pos'),
...(
'this is an amazing place!'
,'pos'),
...(
'i feel very good about these beers.'
,'pos'),
...(
'this is my best work.'
,'pos'),
...(
"what an awesome view"
,'pos'),
...(
'i do not like this restaurant'
,'neg'),
...(
'i am tired of this stuff.'
,'neg'),
...(
"i can't deal with this"
,'neg'),
...(
'he is my sworn enemy!'
,'neg'),
...(
'my boss is horrible.'
,'neg')...]

test =[.

..('the beer was good.'
,'pos'),
...(
'i do not enjoy my job'
,'neg'),
...(
"i ain't feeling dandy today."
,'neg'),
...(
"i feel amazing!"
,'pos'),
...(
'gary is a friend of mine.'
,'pos'),
...(
"i can't believe i'm doing this."
,'neg')...]

from textblob.classifiers import *****bayesclassifier

nb_model = *****bayesclassifier(train)

dev_sen =

"this is an amazing library!"
print
(nb_model.classify(dev_sen)
)

pos

dev_sen_prob = nb_model.prob_classify(dev_sen)

print
(dev_sen_prob.prob(
"pos"
))

0.980117820324005

print

(nb_model.accuracy(test)
)

0.8333333333333334

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