Sentiment.py

from textblob import TextBlob 

pos_count = 0
pos_correct = 0

with open("D:/positive.txt","r") as f:
    for line in f.read().split('\n'):
        analysis = TextBlob(line)
        if analysis.sentiment.polarity > 0:
            pos_correct += 1
        pos_count +=1


neg_count = 0
neg_correct = 0

with open("D:/negative.txt","r") as f:
    for line in f.read().split('\n'):
        analysis = TextBlob(line)
        if analysis.sentiment.polarity <= 0:
            neg_correct += 1
        neg_count +=1
print("accuracy by fairly positive, but also highly subjective")
print("Positive accuracy = {}% via {} samples".format(pos_correct/pos_count*100.0, pos_count))
print("Negative accuracy = {}% via {} samples".format(neg_correct/neg_count*100.0, neg_count))

pos_count = 0
pos_correct = 0

with open("D:/positive.txt","r") as f:
    for line in f.read().split('\n'):
        analysis = TextBlob(line)

        if analysis.sentiment.subjectivity < 0.3:
            if analysis.sentiment.polarity > 0:
                pos_correct += 1
            pos_count +=1

neg_count = 0
neg_correct = 0

with open("D:/negative.txt","r") as f:
    for line in f.read().split('\n'):
        analysis = TextBlob(line)
        if analysis.sentiment.subjectivity < 0.3:
            if analysis.sentiment.polarity <= 0:
                neg_correct += 1
            neg_count +=1

print("accuracy by increasing more objective")
print("Positive accuracy = {}% via {} samples".format(pos_correct/pos_count*100.0, pos_count))
print("Negative accuracy = {}% via {} samples".format(neg_correct/neg_count*100.0, neg_count))

pos_count = 0
pos_correct = 0

with open("D:/positive.txt","r") as f:
    for line in f.read().split('\n'):
        analysis = TextBlob(line)

        if analysis.sentiment.subjectivity > 0.9:
            if analysis.sentiment.polarity > 0:
                pos_correct += 1
            pos_count +=1

neg_count = 0
neg_correct = 0

with open("D:/negative.txt","r") as f:
    for line in f.read().split('\n'):
        analysis = TextBlob(line)
        if analysis.sentiment.subjectivity > 0.9:
            if analysis.sentiment.polarity <= 0:
                neg_correct += 1
            neg_count +=1

print("accuracy by increasing degree of subjective")
print("Positive accuracy = {}% via {} samples".format(pos_correct/pos_count*100.0, pos_count))
print("Negative accuracy = {}% via {} samples".format(neg_correct/neg_count*100.0, neg_count))