Paper Title
Identity Resolution for Crime Investigation Using AI Techniques
Abstract
Identity resolution is a concept of linking a particular identity based on its metadata to another identity in another
database. Increasing efficiency in the field of Natural Language Processing (NLP), Text embedding techniques has become
more robust which can help us find Semantic similarities between text information using these identity metadata. Therefore,
in this paper, we have proposed a novel approach involving creating a vector or embedding based on the pre-trained model
which provides a vector for identity-based text data based on pretraining knowledge. In addition to that, the distance
calculation method is also used to find the distance between these text embeddings to find similarities between two
identities. The proposed approach has been found to give good comparable performance to other existing techniques.
Keywords - Semantic Similarity, BERT,ROBERTA, Identity Resolution, Cosine similarity
Author - Paramasivam Venkatesan, Balasubramanian Cv, Sindhu Vali Reddy, Selvakuberan Karuppasamy, Subhashini Lakshminarayanan
Published : Volume-10,Issue-9 ( Sep, 2023 )
DOIONLINE Number - IJAECS-IRAJ-DOIONLINE-20148
View Here
|
|
| |
|
PDF |
| |
Viewed - 11 |
| |
Published on 2023-12-04 |
|
|
|
|
|
|