Hi guys, first I wanted to say that this is my first time trying this. Secondly. I'm not sure I'm placing this question at the right forum. If it's not, please excuse me.
I'm trying to use Naive Bayes on my data. The dataset can be downloaded from https://www.kaggle.com/jiashenliu/515k-hotel-reviews-data-in-europe. This is my code till now:
data = pd.read_json('/Users/rokayadarai/Desktop/Coding/DataSets/Hotel_Reviews.json')
#stopword are not useful words (like: a, and, the)
stopset = set(stopwords.words('english'))
vectorizer = TfidfVectorizer(use_idf=True, lowercase=True, strip_accents='ascii', stop_words=stopset)
y = data["Reviewer_Score"]
x = vectorizer.fit_transform(['Negative_Review', 'Positive_Review'])
#515738 observations and 2(?) unique words
#split the data - 0.2 means 20% of the data. 123 means use same dataset with every test
x_train, x_test, y_train, y_test = train_test_split(x,y,test_size=0.2,random_state=123)
When I try to run this, I get the error: ValueError: Found input variables with inconsistent numbers of samples: [2, 515738]. Could please somebody helps me out? I'm stuck and can't seem to find anything on the Internet to help me.