Tutorials Programming Tutorials, Guides & Best Practices

لنجعل روبوت الدردشة أكثر ذكاءً باستخدام تقنية lemmatization لفهم النصوص:

from nltk.stem import WordNetLemmatizer

lemmatizer = WordNetLemmatizer()

# دالة لتبسيط الكلمات
def preprocess(text):
    words = nltk.word_tokenize(text)
    return [lemmatizer.lemmatize(word.lower()) for word in words]

• Use Larger Models: For better quality responses, consider using larger models like microsoft/DialoGPT-medium or microsoft/DialoGPT-large.
• Fine-tuning: You can fine-tune the model on specific conversation data to make it more suited for particular domains or topics.
• User Interface: Integrate the chatbot into a web or mobile application for more interactive experiences.

By following this tutorial, you have created a simple AI chatbot using Python and a pre-trained transformer model. This setup provides a solid foundation for building more advanced conversational agents and exploring the capabilities of NLP technologies.