Week 5 – Understanding NLP & Language Models

This week focused on Natural Language Processing (NLP), which is how AI understands and works with human language. I learned about text classification, sentiment analysis, and language modeling. One of the biggest takeaways was how AI can analyze emotions in text, like determining whether a review is positive or negative. This is something businesses can use to understand customer feedback at scale. I also explored how models like ChatGPT work by predicting the next word in a sentence. That helped me understand why AI responses feel so natural. Running NLP examples in Google Colab showed how text is tokenized and processed before being analyzed. It made me realize how much work goes on behind the scenes when we interact with AI tools daily. This week was probably the most relevant to my field. As a marketing major, NLP can be used for social media analysis, brand sentiment tracking, and customer engagement. It showed me how companies can turn text data into real business insights, which is something I could see myself using in my career.

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