NLP_API/model.py at main · nel417/NLP_API · GitHub

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import json
import random
file_name = "books2.json"


class Sentiment:
    NEGATIVE = "NEGATIVE"
    NEUTRAL = "NEUTRAL"
    POSITIVE = "POSITIVE"


class Review:
    def __init__(self, text, score):
        self.text = text
        self.score = score
        self.sentiment = self.get_sentiment()

    def get_sentiment(self):
        if self.score <= 2:
            return Sentiment.NEGATIVE
        elif self.score == 3:
            return Sentiment.NEUTRAL
        else:
            return Sentiment.POSITIVE


class ReviewContainer:
    def __init__(self, reviews):
        self.reviews = reviews

    def get_text(self):
        return [x.text for x in self.reviews]

    def get_labels(self):
        return [x.sentiment for x in self.reviews]

    def even(self):
        negative = list(filter(lambda x: x.sentiment == Sentiment.NEGATIVE, self.reviews))
        positive = list(filter(lambda x: x.sentiment == Sentiment.POSITIVE, self.reviews))
        #         print(len(negative))
        #         print(len(positive))
        shrink_positive = positive[:len(negative)]
        self.reviews = negative + shrink_positive
        random.shuffle(self.reviews)


reviews = []
with open(file_name) as f:
    for line in f:
        review = json.loads(line)
        reviews.append(Review(review["reviewText"], review["overall"]))