Natural Language Processing and Rule Extraction for Document Analysis: An Analysis on NLP Techniques for Information Extraction and python implementation
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Authors
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Publication date
2023
Typ of student thesis
Bachelor
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Collections
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11 - Student thesis
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Hochschule für Wirtschaft FHNW
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KWSOFT
Abstract
Present situation: Companies using legacy systems encounter challenges in reaching their objectives due to limited features and outdated technology. Thats why, the project's primary aim is to develop a easy solution for KWSOFT's customers to generate letter templates. The client aims to automate template creation by leveraging AI techniques to extract rules and patterns by analysing already existing letters and their corresponding XML files. The application should be able to differentiate between:
• Text
• Variable text
• Input fields
• loops
• Rules (Components dependant on data properties)
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English
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Yes
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Review
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Citation
Bollazzi, L. (2023). Natural Language Processing and Rule Extraction for Document Analysis: An Analysis on NLP Techniques for Information Extraction and python implementation [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/42106