I am trying to extract information such as profits, revenues and others along with their corresponding dates and quarters from an unstructured text about stock market and convert it into a report in the table form but as there is not format of the input text, it is hard to know which entity belong to what date and quarters and which value belong to which entity. Chunking works on few documents but not enough. Is there any unsupervised way to linking entities with their corresponding dates, values and quarters?
Creating tables from unstructured texts about stock market
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Financial data is highly structured data. Not sure what you are after, but maybe this will help.
Result:
Result:
Documentation Here:
https://medium.com/codestorm/how-to-get-data-from-yahoo-finance-using-python-8d087fe42b10