The Dynamic Potential of Named Entity Recognition (NER) in Extracting and Analyzing Geospatial Data

By Shahabuddin Amerudin Named Entity Recognition (NER), an integral component of Natural Language Processing (NLP), plays a pivotal role in extracting meaningful information from unstructured text. This technique involves the identification and classification of specific entities within text, ranging from names of people and organizations to temporal expressions and geographic locations. The applications of NER are wide-ranging and impactful across diverse industries. In this comprehensive article, we will delve deeper into the mechanics of NER, … Continue reading The Dynamic Potential of Named Entity Recognition (NER) in Extracting and Analyzing Geospatial Data