The phrase "amount of textual" is not correct in standard written English.
It is typically used in contexts discussing the quantity or extent of text, but it should be followed by a noun to clarify what is being measured.
Example: "The amount of textual evidence provided in the report was insufficient to support the claims made."
Alternatives: "quantity of text" or "volume of text".
The designers also reduced the amount of textual information on some screens, eliminating navigation details that may be considered superfluous or excessive.
The qualitative analyses suggest that raters had inconsistent perceptions toward certain features of essays compared to the experts, such as the amount of textual borrowing, the development of ideas, and the consistency of the focus.
This is also the case in many language processing tasks, due to the overwhelming and ever increasing amount of textual information that must be processed in a reasonable time frame.
Given the variety and amount of textual information included in software repositories, in issue reports, in commit and source-code comments, and in other forms of documentation, this method has found many applications in the software-engineering field of mining software repositories.
You'll be amazed at the amount of textual graffiti that lights up your LCD.
To do so, it is necessary to gather and pre-process a sufficient amount of textual data in the target language and analyse it to choose a suitable vocabulary.
This involves analyzing large amounts of textual information.
Autonomy's specialism was taking large amounts of textual data and making sense of it.
This paper offers an interdisciplinary bridge between research in linguistics, natural language processing, and information seeking with potential benefits to design and implementation of information systems for situations where large amounts of textual information are screened manually on a regular basis, for instance, by professional intelligence or business analysts.
The majority of our automated queries correlated with the results of our manual coding, suggesting the feasibility for monitoring large amounts of textual data over time.
Its rationale is that qualitative research produces large amounts of textual data in the form of transcripts, observational fieldnotes etc.
