Training on Assessing Comprehension and Practical Experience in NLP for AI - Gulberg Lahore

In this activity, participants will assess both their theoretical comprehension and practical experience with essential Natural Language Processing (NLP) techniques used in AI. Through a series of exercises, they will apply methods like tokenization, stemming, and lemmatization to real-world text data, and explore how these techniques power AI applications such as chatbots, language translation, and sentiment analysis. The activity is designed to deepen participants' understanding of the role of NLP in AI workflows and enhance their ability to implement these techniques in AI-driven projects.