使用tfidf_vectorizer.fit_transform()建立td-idf矩阵模型

我好像看不明白这个矩阵模型代表的意思

附源码

from sklearn.cluster import KMeans
from sklearn.feature_extraction.text import TfidfVectorizer

documents = ["This little kitty came to play when I was eating at a restaurant.",
             "Merley has the best squooshy kitten belly.",
             "Google Translate app is incredible.",
             "If you open 100 tab in google you get a smiley face.",
             "Best cat photo I've ever taken.",
             "Climbing ninja cat.",
             "Impressed with google map feedback.",
             "Key promoter extension for Google Chrome."]
vectorizer = TfidfVectorizer(stop_words='english')
X = vectorizer.fit_transform(documents)
print(X)