⚡ Skip theory—build real AI in 15 minutes
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Welcome back to Pandas Daily! Your daily 5-minute boost to becoming confident in Python. TGIF! Everyone is talking about AI. Most people take courses. You're going to build it instead. Let's create a simple sentiment analyzer that reads customer reviews and classifies them as positive or negative. No machine learning libraries—just Python. 🎯 Define list of positive and negative words
In:
positive_words = ["good", "great", "excellent", "amazing", "love", "best"] negative_words = ["bad", "terrible", "awful", "hate", "worst", "horrible"] 👉🏻 Assign reviews as variables
In:
review1 = "This product is amazing and I love it" review2 = "Terrible quality, worst purchase ever" Lets do review1 first ✂️ Get all words from the review. Convert to lowercase (for easy matching)
In:
words = review1.lower().split() print(words)
Out:
['this', 'product', 'is', 'amazing', 'and', 'i', 'love', 'it']
✅ Count # positive words Count 1 when any word is positive. Add all such 1
In:
pos_count = sum(1 for word in words if word in positive_words) print(f"Positive words found: {pos_count}")
Out:
Positive words found: 2
⛔ Count # negative words Count 1 when any word is negative. Add all such 1
In:
neg_count = sum(1 for word in words if word in negative_words) print(f"Negative words found: {neg_count}")
Out:
Negative words found: 0 🏆 Define final sentiment
In:
if pos_count > neg_count: sentiment = "Positive" elif neg_count > pos_count: sentiment = "Negative" else: sentiment = "Neutral" print(f"Sentiment: {sentiment}")
Out:
Sentiment: Positive
✌ Same method for the 2nd review. Did you also get the same answer?
In:
words2 = review2.lower().split() print(words2)
Out:
['terrible', 'quality,', 'worst', 'purchase', 'ever']
In:
pos_count2 = sum(1 for word in words2 if word in positive_words) neg_count2 = sum(1 for word in words2 if word in negative_words) sentiment2 = "Positive" if pos_count2 > neg_count2 else "Negative" if neg_count2 > pos_count2 else "Neutral" print(f"Review 2: {sentiment2}")
Out:
Review 2: Negative
⭐📣 That's it for today! If you liked it, please share it with anyone who will find it useful and share your feedback below 🐼
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