ML.model 

 1from nltk.corpus import twitter_samples
 2from nltk.data import path
 3import os
 4
 5path.append(os.getcwd() + r"\backend\ML\trainingdata")
 6
 7class Model:
 8    def __init__(self):
 9        """
10        set pos_data and neg_data for training data.
11        """
12        self.pos_data = twitter_samples.strings('positive_tweets.json')
13        self.neg_data = twitter_samples.strings('negative_tweets.json')
class Model: 
 8class Model:
 9    def __init__(self):
10        """
11        set pos_data and neg_data for training data.
12        """
13        self.pos_data = twitter_samples.strings('positive_tweets.json')
14        self.neg_data = twitter_samples.strings('negative_tweets.json')
Model() 
 9    def __init__(self):
10        """
11        set pos_data and neg_data for training data.
12        """
13        self.pos_data = twitter_samples.strings('positive_tweets.json')
14        self.neg_data = twitter_samples.strings('negative_tweets.json')

set pos_data and neg_data for training data.

pos_data
neg_data