Bag-of-words

Python 情感分析

Violeta Misheva

Data Scientist

What is a bag-of-words (BOW) ?

Amazon 產品評論資料集前 10 列

這是我看過最棒的書。我很喜歡這本書，強力推薦！！！

{'This': 1, 'is': 1, 'the': 2 , 'best': 1 , 'book': 2, 
'ever': 1, 'I':1 , 'loved':1 , 'and': 1  , 'highly': 1,
'recommend': 1 , 'it': 1 }

資料集前 5 列，顯示 BOW 方法的輸出

import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer

vect = CountVectorizer(max_features=1000) 
vect.fit(data.review)
X = vect.transform(data.review)

<10000x1000 sparse matrix of type '<class 'numpy.int64'>' 
  with 406668 stored elements in Compressed Sparse Row format>

# Transform to an array
my_array = X.toarray()

# Transform back to a DataFrame, assign column names
X_df = pd.DataFrame(my_array, columns=vect.get_feature_names())

Python 情感分析