finished TextBlob hw

TextBlob/test.json

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+[
+    {"text": "The beer was good.", "label": "pos"},
+    {"text": "I do not enjoy my job", "label": "neg"},
+    {"text": "I feel amazing!", "label": "pos"},
+    {"text": "I am very tired", "label": "neg"}
+]

TextBlob/text_classifier.py

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+from textblob.classifiers import NaiveBayesClassifier
+from pathlib import Path
+
+def main():
+    # Get directory where this script is located
+    base_dir = Path(__file__).parent
+
+    # Build paths to data files
+    train_path = base_dir / "train.json"
+    test_path = base_dir / "test.json"
+
+    # Load training data
+    with open(train_path, "r") as train_file:
+        classifier = NaiveBayesClassifier(train_file, format="json")
+
+    # Load test data
+    with open(test_path, "r") as test_file:
+        accuracy = classifier.accuracy(test_file)
+
+    print("Accuracy:", accuracy)
+
+    print("Classifying sentences:")
+    print("I love this place ->", classifier.classify("I love this place"))
+    print("I hate this job ->", classifier.classify("I hate this job"))
+
+    print("\nMost Informative Features:")
+    classifier.show_informative_features(5)
+
+
+if __name__ == "__main__":
+    main()