The phrase "as unstructured text" is correct and usable in written English.
It can be used when referring to data or information that does not have a predefined format or organization.
Example: "The data was provided as unstructured text, making it challenging to analyze effectively."
Alternatives: "in a raw text format" or "as freeform text".
Often data processing architectures are not suited to cope with this diversity since most of the case data is still stored as unstructured text.
Focus group discussant and key informant verbal data were translated from Hausa or Fulfulde to English and transcribed verbatim in situ as unstructured text.
Information retrieval has long been a central theme of information science, covering retrieval of both structured data such as are found in relational databases as well as unstructured text documents (e.g., Salton 1989).
Like pathology, genomic test results are returned as unstructured text.
Information on actual prescribed dosage was available as unstructured text.
This was necessary because critical information had been entered as unstructured text in comments.
This can help in on-line crowd surveillance for different applications (pharmacovigilance and filtering health contents in blogs among others) as well as extracting knowledge from unstructured text sources.
Researchers using unstructured text as a data source have seen good results using NB for predicting readmission [10, 20].
As the sheer size of unstructured text data keeps increasing, there is a need to understand and extract information from large scale texts or the world wide web.
To this extend, natural language processing algorithms for clustering unstructured text such as the 'Latent Dirichlet Allocation topic modelling' (Blei, Ng, & Jordan, 2003) could reveal to the criminologists and spatial crime analysts valuable information from observers in the neighbourhood where the crime occurred.
Because beyond that there is this huge mass of unstructured text that we know as the web.
