Big Data News Hubb
Advertisement
  • Home
  • Big Data
  • News
  • Contact us
No Result
View All Result
  • Home
  • Big Data
  • News
  • Contact us
No Result
View All Result
Big Data News Hubb
No Result
View All Result
Home News

A Brief Guide on Unstructured Text (Data)

admin by admin
November 16, 2022
in News


We all have a basic understanding of the word “data” but many of us are unaware of all of the different types of data out there. And that’s not even getting started on the data within the data types! So, you have unstructured data, and then within this, you have unstructured text. Confused? Fear not – this is what we are going to explore in this article. Here we will delve into the definition of ‘unstructured text’ and look at some prime examples. Let’s get into it.

To Start Off, Let’s Define What “Unstructured Data” Is…

Data falls into multiple different categories: unstructured, structured, and semi-structured. But what do each of these mean? Well in basic terms, unstructured data does not follow a predefined format. Therefore, it can vary massively, from audio files to video, or even text. On the other hand, structured data follows a standardized format with an (often complicated) set structure. It can often revolve around numbers, value and spreadsheets. Semi-structured data is a combination of the two – it can have some order that relates to structured data, but it also includes other data such as imagery. For example, XML is semi-structured data.

What Does “Unstructured Text” Mean?

A lot of unstructured data is textual, such as emails or surveys. Due to the nature of it, this kind of data is not as predictable as the structured kind that follows tighter formatting “rules”. The amount of unstructured text in the world is endless and each day this is multiplied, whether it’s through business communications or social media chats, to name a few examples. For information on extracting information from unstructured text, click the link for more.

How is Unstructured Text Used?

Unstructured text can be used in multiple different ways. For instance, it could be used when assessing customer conversations with businesses. This kind of data can be difficult to narrow down though as it’s so broad. What we mean by this is, if the data is gathered through a source that is not set answers (such as multiple choice questions) then the possible outcomes are open and can therefore be vast.

Text Classification

This data can be harder for computers to read when it’s not necessarily black and white – but modern technology is developing to get a better grasp on this open text data source. This process is called text classification, text categorization or text tagging. It is designed to pick up on certain patterns and linguistic rules as a way of analyzing unstructured text data. For example, this method could decipher certain words, along with synonyms, to differentiate the overall consensus. This could be applied when it comes to restaurant reviews, to come to the conclusion of whether the majority are positive or negative.

Hopefully, this guide has given you more of a grasp on what unstructured data and unstructured text is. It’s something that we are all familiar with and it can be highly valuable for businesses and authorities to delve into. The trouble is trying to analyze it in mass proportions, as efficiently as possible!



Source link

Previous Post

Unlocking HBase on S3 With the New Store File Tracking Feature

Next Post

Speedb’s Data Storage Engine Goes Open Source

Next Post

Speedb's Data Storage Engine Goes Open Source

Recommended

5 Ways to to Accelerate your Cloud Data Warehouse Migration

January 2, 2023

Research Highlights: SparseGPT: Prune LLMs Accurately in One-Shot

March 3, 2023

How Infomedia built a serverless data pipeline with change data capture using AWS Glue and Apache Hudi

March 15, 2023

Don't miss it

News

Global Benefits of International Courier Services

March 21, 2023
Big Data

An early look at the labor market impact potential of large language models

March 21, 2023
Big Data

Unlocking Hidden Value From Production Line Data

March 20, 2023
Big Data

Fine-Tuning Large Language Models with Hugging Face and DeepSpeed

March 20, 2023
News

Accelerating revenue growth with real-time analytics: Poshmark’s journey

March 20, 2023
News

Big Data Career Notes: March 2023 Edition

March 20, 2023

big-data-footer-white

© 2022 Big Data News Hubb All rights reserved.

Use of these names, logos, and brands does not imply endorsement unless specified. By using this site, you agree to the Privacy Policy and Terms & Conditions.

Navigate Site

  • Home
  • Big Data
  • News
  • Contact us

Newsletter Sign Up

No Result
View All Result
  • Home
  • Big Data
  • News
  • Contact us

© 2022 Big Data News Hubb All rights reserved.