Natural Language Processing with NLTK (Intermediate)
In this intermediate quest, participants will deepen their understanding of Natural Language Processing (NLP) using the Natural Language Toolkit (NLTK) in Python. The quest will cover essential NLP concepts such as tokenization, stemming, lemmatization, and part-of-speech tagging. Through practical exercises and projects, learners will apply these techniques to analyze and process text data. Additionally, participants will explore sentiment analysis and text classification, gaining insights into how machines interpret human language. By the end of this quest, you will be equipped with the skills to build your own NLP applications and contribute to projects involving language data.
• Understand and implement tokenization and text normalization techniques.
• Utilize stemming and lemmatization to reduce words to their base forms.
• Apply part-of-speech tagging to analyze sentence structure.
• Conduct sentiment analysis and build a simple text classifier using NLTK.
