Abstract: A machine-learning based (ML-based) system and method for automatically processing one or more documents are disclosed. Initially, data associated with at least one of: first contents and second contents are obtained from data sources. The data are pre-processed to generate pre-processed data. The first contents are classified are classified as at least one of: claim-based contents and non-claim-based contents, using a machine learning (ML) model with prompts. Additionally, the second contents are classified as at least one of: the claim-based contents and the non-claim-based contents, based on intents of the second contents, using the ML model with the prompts. At least one of: the claim-based contents and the non-claim-based contents, are provided as an output, to users on user interfaces associated with electronic devices associated with the users.

Abstract: A machine-learning based (ML-based) system and method for automatically processing one or more documents are disclosed. Initially, data associated with at least one of: first contents and second contents are obtained from data sources. The data are pre-processed to generate pre-processed data. The first contents are classified are classified as at least one of: claim-based contents and non-claim-based contents, using a machine learning (ML) model with prompts. Additionally, the second contents are classified as at least one of: the claim-based contents and the non-claim-based contents, based on intents of the second contents, using the ML model with the prompts. At least one of: the claim-based contents and the non-claim-based contents, are provided as an output, to users on user interfaces associated with electronic devices associated with the users.