DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-10,Issue-9 ( Sep, 2023 ) | |||||||||
Paper Title |
Identity Resolution for Crime Investigation Using AI Techniques | |||||||||
Author Name |
Paramasivam Venkatesan, Balasubramanian Cv, Sindhu Vali Reddy, Selvakuberan Karuppasamy, Subhashini Lakshminarayanan | |||||||||
Affilition |
1,2,3,4,5Data and AI Capability, ATCI, Chennai, India | |||||||||
Pages |
4-6 | |||||||||
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 | |||||||||
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