How to perform sentiment analysis in python, on a large .txt file with a lot of common words ?

I'm trying to perform sentiment analysis on reviews in python using libraries such as TextBlob and VaderSentiment. However the problem is that due to the reviews .txt file has a lot of common words and all the reviews are generating a somewhat neutral score.

**Code:**

from webbrowser import get
from textblob import TextBlob


def getSentiment():
with open("/home/ayush/myproj/vaahan/scrape/scrapeListFile.txt","r") as f:
content = f.read()
analysis = TextBlob(content)
polarity = round(analysis.sentiment.polarity * 5 + 5,2)
subjectivity = analysis.sentiment.subjectivity

if subjectivity <= 0.25:
subjectivity …

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