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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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voluminous textual data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "voluminous textual data" is correct and usable in written English.
It can be used when referring to a large amount of written information or documents, often in contexts like data analysis, research, or information processing. Example: "The researchers faced challenges in analyzing the voluminous textual data collected from various sources."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

Historic and textual data is equally important.

Autonomy's specialism was taking large amounts of textual data and making sense of it.

Topic modeling finds human-readable structures in unstructured textual data.

Other AI technologies can also be used to extract data from transactional systems, or to analyze and quantify textual data.

Developed nearly 40 years ago, the system allows diverse computers to exchange textual data in a common numeric language.

ASCII (American Standard Code for Information Interchange) is a standard means for storing textual data.

Interpretive questions thus begin without firm textual data.

Science

SEP

We then continued to process the textual data.

At the time, the company was demonstrating a tool that tags audio usually transcribed textual data.

News & Media

TechCrunch

Traditional AI techniques, under the umbrella of machine learning, have been successful at modeling numerical and textual data at scale.

News & Media

Forbes

RBS combines analysis of big data, including unstructured and textual data, to develop a much clearer picture of complaints so it can deliver a faster resolution for customers.

News & Media

Forbes
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Expert writing Tips

Best practice

When discussing data analysis, specify the type of analysis performed on the "voluminous textual data" to provide context and clarity.

Common error

Avoid simply stating that you have "voluminous textual data" without indicating its relevance or source; provide context to demonstrate its value.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "voluminous textual data" functions as a noun phrase, where "voluminous" is an adjective modifying the noun phrase "textual data". It describes the quantity and nature of the information being referenced. Even though Ludwig AI has no examples, such phrase can be used referring to a large amount of written data or information.

Expression frequency: Rare

Frequent in

Science

33%

News & Media

33%

Formal & Business

33%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "voluminous textual data" refers to a large quantity of text-based information, often requiring specialized tools and techniques for effective analysis. While grammatically correct, its frequency is relatively rare. Its use is prevalent in formal and scientific contexts such as research reports and technical documentation. The phrase is used to describe the scale of data available for analysis or processing and also to set the stage for discussions about the challenges and methods involved in handling such large datasets. Although Ludwig AI has no exact examples, the phrase is valid and usable in English, indicating its acceptance and utility in describing data-intensive scenarios.

FAQs

How can "voluminous textual data" be effectively analyzed?

Techniques such as "text mining", "natural language processing", and thematic analysis are commonly employed to extract meaningful insights from "voluminous textual data".

What are some synonyms for "voluminous textual data"?

Alternatives include "extensive text data", "large amounts of textual information", or "massive textual dataset", depending on the specific nuance you want to convey.

In what fields is the analysis of "voluminous textual data" most prevalent?

The analysis of "voluminous textual data" is common in fields such as "digital humanities", "market research", and "scientific research", where large quantities of text are processed to identify patterns and trends.

What tools are used to manage "voluminous textual data"?

Software like "ATLAS.ti" and "NVivo" are often used for qualitative analysis, while programming languages like Python with libraries such as NLTK and SpaCy are used for quantitative analysis.

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Source & Trust

83%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Most frequent sentences: