Human Resources Automation - Interview Feedback Aggregator

 

Notes:

• Problem Solved: Aggregates qualitative interviewer feedback and scores candidates.

• Customization Benefits: Change scoring logic or sentiment thresholds.

• Further Adoption: Feed into candidate ranking or hiring decisions.

Python Code:

import pandas as pd

from textblob import TextBlob

feedback_data = pd.read_csv("interview_feedback.csv")  # Columns: candidate, feedback_text

def analyze_feedback(feedback):

    sentiment = TextBlob(feedback).sentiment.polarity

    return round(sentiment, 2)

feedback_data['Sentiment Score'] = feedback_data['feedback_text'].apply(analyze_feedback)

candidate_scores = feedback_data.groupby("candidate")['Sentiment Score'].mean().sort_values(ascending=False)

print(candidate_scores)