Extraction Information from Vehicle Advertisement Text using Natural Language Processing Techniques
How It Works
Some of the vehicle advertisements are represented in textual documents, and it requires a reader to read the entire document and understands its content before the important information can be extracted. This process consumes more time instead of having a system that can extract the important information from the document automatically without the reader needs to read the whole document. In this project, a prototype system was developed to assist a reader to extract important information from the vehicle advertisement and the system was developed by applying natural language processing (NLP) techniques. The NLP techniques that have been used are focused on the syntactic processing.