Create natural_language_processing.py

QuantumNexusProtocol/src/ai/natural_language_processing.py

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+import nltk
+from nltk.tokenize import word_tokenize
+from nltk.corpus import stopwords
+
+class NaturalLanguageProcessor:
+    def __init__(self, text):
+        self.text = text
+        nltk.download('punkt')
+        nltk.download('stopwords')
+        self.stop_words = set(stopwords.words('english'))
+
+    def process(self):
+        tokens = word_tokenize(self.text)
+        filtered_tokens = [word for word in tokens if word.lower() not in self.stop_words]
+        return filtered_tokens
+
+# Example usage
+if __name__ == "__main__":
+    text = "This is an example sentence for natural language processing."
+    processor = NaturalLanguageProcessor(text)
+    processed_text = processor.process()
+    print("Processed Text:", processed_text)