Customer Relationship Management (CRM) - Voice of Customer Analyzer

 

Notes:

• Problem Solved: Performs sentiment analysis on customer reviews or NPS responses.

• Customization Benefits: Tailor sentiment thresholds or keywords per product.

• Further Adoption: Feed results into product improvement or alerting systems.

Python Code:

from textblob import TextBlob

import pandas as pd

def analyze_sentiment(text):

    return TextBlob(text).sentiment.polarity

feedback_df = pd.read_csv("customer_feedback.csv")  # Column: 'feedback'

feedback_df['sentiment_score'] = feedback_df['feedback'].apply(analyze_sentiment)

# Categorize feedback

feedback_df['sentiment_label'] = feedback_df['sentiment_score'].apply(

    lambda x: 'Positive' if x > 0.1 else ('Negative' if x < -0.1 else 'Neutral')

)

print(feedback_df[['feedback', 'sentiment_label']])