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As for the data, much of Nextdoor's data here was unstructured text.
Because beyond that there is this huge mass of unstructured text that we know as the web.
If integration is not done for unstructured text, textual analytics cannot be done effectively.
Unstructured text that is put into a data warehouse first goes through an integration process.
The integration process is necessary to prepare the unstructured text for textual analytics.
However, difficulties lie in systematically and efficiently drawing inferences from large amounts of unstructured text.
The model uses text mining to automatically classify DPCs (Deviation Pattern Components) from unstructured text based cases.
The goal of it is to numerically represent the unstructured text documents so that they can be computed mathematically.
yet this crucial information cannot be efficiently used because of the difficulties in retrieving it automatically from unstructured text.
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Add to this the challenge of unstructured, text-based reviews and the multilingual nature of the hospitality industry, and obtaining a comprehensive snapshot is a serious challenge.
At a basic level, TA assists researchers in organizing and describing unstructured text-based data.
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