About this document
High Accuracy Location Extraction in NLP by Darren is a document available to read on EtoBox.
This paper presents a research project focused on extracting high-accuracy location information from social network texts related to terrorism in Burkina Faso using Natural Language Processing (NLP). The authors developed a new Named Entity Recognition (NER) solution that achieved 98% accuracy in recognizing location names, outperforming existing methods. The project aims to create a real-time system for predicting terrorist attacks by structuring extracted data for machine learning applications.
- Author
- Darren
- Language
- EN