Identity Matching in News Articles with Machine Learning

Job ID: 37832073

Budget: $250 – $750 SGD

Use Case:
Our objective is to enhance our capability to accurately identify individuals mentioned in news articles and match them with corresponding entries in our database. Specifically, we aim to develop a machine learning model capable of discerning whether a person entity referenced in an article aligns with an individual stored within our database. This NER model will assess attributes associated with individuals in our database, and return us with a Identity Matching Scoring.

Technical Requirements:
This task involves crafting and refining a machine learning model capable of Named Entity Recognition and Linking, considering the contextual relevance of attributes associated with individuals mentioned in news articles. The model should prioritize certain attributes over others based on their relevance and significance for accurate identification and matching.

Please note, the main aim of this project is to accurately find and match people’s identities in various news articles. The qualified freelancer should have the capacity to use ML to accomplish an accurate, efficient, and effective entity matching system.