bow in ml

X = [] 
for data in dataset: 
    vector = [] 
    for word in freq_words: 
        if word in nltk.word_tokenize(data): 
            vector.append(1) 
        else: 
            vector.append(0) 
    X.append(vector) 
X = np.asarray(X) 

# Creating the Bag of Words model 
word2count = {} 
for data in dataset: 
    words = nltk.word_tokenize(data) 
    for word in words: 
        if word not in word2count.keys(): 
            word2count[word] = 1
        else: 
            word2count[word] += 1