Information Extraction from Unstructured data using Augmented-AI and Computer Vision
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2022
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| _version_ | 1866902309922930688 |
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| author | Aditya N. Parikh |
| author_facet | Aditya N. Parikh |
| contents | Process of information extraction (IE) is often used to extract meaningful information from unstructured and unlabeled data. Conventional methods of data extraction including application of OCR and passing extraction engine, are inefficient on large data and have their limitation. In this paper, a peculiar technique of information extraction is proposed using A2I and computer vision technologies, which also includes NLP. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18479277 |
| institution | Zenodo |
| language | |
| publishDate | 2022 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Information Extraction from Unstructured data using Augmented-AI and Computer Vision Aditya N. Parikh AWS Augmented OCR Textract NLP Process of information extraction (IE) is often used to extract meaningful information from unstructured and unlabeled data. Conventional methods of data extraction including application of OCR and passing extraction engine, are inefficient on large data and have their limitation. In this paper, a peculiar technique of information extraction is proposed using A2I and computer vision technologies, which also includes NLP. |
| title | Information Extraction from Unstructured data using Augmented-AI and Computer Vision |
| topic | AWS Augmented OCR Textract NLP |
| url | https://doi.org/10.5281/zenodo.18479277 |