Can you explain how machine learning is connected to natural language processing?
Sure! Machine learning is a subset of AI that enables systems to learn from data. In NLP, it helps analyze and understand human language.
What are some common machine learning techniques used in NLP?
Common techniques include supervised learning for classification tasks, unsupervised learning for clustering, and deep learning for tasks like translation.
How does deep learning improve NLP tasks?
Deep learning models, like neural networks, can capture complex patterns in data, leading to better performance in tasks like sentiment analysis and language generation.
Can you give an example of NLP applications that use machine learning?
Absolutely! Applications include chatbots, language translation services, and sentiment analysis tools that help businesses understand customer feedback.
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