Vectorizing a single string instead of a list of documents.
Codepython
from sklearn.feature_extraction.text import CountVectorizer
texts = ["good movie", "bad film"]
vec = CountVectorizer()
# Build the document-term matrix for the corpus
X = vec.fit_transform(texts[0])
print(X.shape)