Add sentiment analyzer module

ML/sentiment_analyzer.py

@@ -0,0 +1,29 @@
+# TextBlob library used for simple sentiment analysis
+from textblob import TextBlob
+
+def analyze_sentiment(text):
+    """
+    Analyze sentiment of input text and return standardized output.
+    """
+
+    blob = TextBlob(text)
+    polarity = blob.sentiment.polarity
+
+    if polarity > 0:
+        sentiment = "positive"
+    elif polarity < 0:
+        sentiment = "negative"
+    else:
+        sentiment = "neutral"
+
+    return {
+        "sentiment": sentiment,
+        "confidence_score": abs(polarity),
+        "text_summary": f"Detected {sentiment} sentiment from the given text."
+    }
+
+
+if __name__ == "__main__":
+    sample = "I really love this product!"
+    result = analyze_sentiment(sample)
+    print(result)