• Athharv Dharmadhikari
• Narsing Sabne
• Sayali Kamble
• Rutuja Ithape

The extraction of information from datasets has become a huge challenge due to the increase in availability of data. It becomes more challenging when information has to be extracted from specific domains, e.g., a management system, as it contains millions of data sets with the same occurring words and entities. We use NLP algorithm that can trace entities in the sentence like person, location, date, time, etc. The model requires a user to upload advice-set documents and define attribute of mapping rules. The model scans the entire uploaded documents, identifies attributes & extracts its corresponding values.The model relies on NLP engine to keep track of domain-specific relationships. This paper discusses the various methods and challenges in NER as well as tries to identify & extract domain-specific entities from a Wealth Management system, especially from large datasets.

Domain Specific Entity, Named Entity Recognition, Machine Learning, Word Embeddings, Extraction, Wealth Management, Advise set documents

"IDENTIFICATION OF PLACE NAMES USING NLP TECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.p577-p582, April-2024, Available :http://www.jetir.org/papers/JETIR2404G75.pdf

"IDENTIFICATION OF PLACE NAMES USING NLP TECHNOLOGY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppp577-p582, April-2024, Available at : http://www.jetir.org/papers/JETIR2404G75.pdf