Done

Project/testing.py

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+from textblob import TextBlob
+import pandas as pd
+
+def analyzeSentiment(text):
+    blob = TextBlob(text)
+    sentiment_score = blob.sentiment.polarity
+
+    if sentiment_score > 0:
+        return 'Positive'
+    elif sentiment_score < 0:
+        return 'Negative'
+    else:
+        return 'Neutral' 
+
+df = pd.read_csv('data.csv')
+
+product_id = 'AVqkIhwDv8e3D1O-lebb' #or any id you want to search for 
+
+df_product = df[df['product_id'] == product_id]
+
+product_name = df_product['name'].iloc[0]
+
+df_product['sentiment'] = df_product['reviews.text'].apply(analyzeSentiment)
+
+positive = (df_product['sentiment'] == 'Positive').sum()
+negative = (df_product['sentiment'] == 'Negative').sum()
+neutral = (df_product['sentiment'] == 'Neutral').sum()
+
+print(f"The product with Name {product_name} has {positive} positive reviews, {negative} negative reviews, and {neutral} neutral reviews")
+
+df_product.to_csv('output.csv', index=False)