I am looking for algorithm(s) to extract data and its value from unstructured documents.
We were given list of tokens against which the information from the documents to be extracted.
Going forward the ML should learn from itself to extract correct token and its values (possibly using RNN)
Preferably example using python would be useful.
Thanks
Dear Dr Hiremath,
a long time ago I reported an idea how information can be extracted from the world wide web. It might help you a bit, though you should be aware that it is only a prototype, i.e. not a fully functioning system that will do the information retrieval for you. You would need to combine it with a crawler (which you would have to develop independently) and with a database that stores the content for you. Nevertheless, the algorithm might be a way to get structured content from initially unstructured raw text.
The reference is:
Spiegel, R. An Application of the Semantic Web Inspired by Human Learning and Natural Language Processing. International Journal of Emerging Technologies in Learning (iJET) 1(3), October 2006.
In case you cannot access the document, please feel free to email me and I will be happy to send you the text.
Yours sincerely,
Rainer
Thank you Dr. Rainer. Managed to download the document. I have got some clarifications and will email you.
Thanks and Regards
Sanjeev H
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