Natural Language Processing Using spaCy in Python
This presentation focuses on Natural Language Processing using the spaCy library in Python. The objective of this activity was to install spaCy, load a pretrained language model, and perform named entity recognition on a sample text. Named entity recognition is a technique used to identify important elements in text, such as people, organizations, locations, dates, and monetary values. In addition, the results were visualized using spaCy’s displaCy tool to better understand how the model interprets language. This project demonstrates how NLP can be used to extract meaningful information from unstructured text data.