Natural Language Processing (NLP) for Machine Learning

$9.99 AUD (Note: this price is exclusive of Tax)

Natural Language Processing (NLP) for Machine Learning

Why You’ll Want to Purchase this Pre-Written Article

  • This paper analyzes the following statement: “Natural language processing refers to the technical branch of computer science, or artificial intelligence, that is concerned with providing computer systems with the ability to comprehend digital text and spoken remarks – in much the same way that human beings can accomplish.”
  • Creative Commons (CC-BY) is the license associated with this article/ product once purchased
  • 2,600-word article is only AUD 9.99!
  • Please Note: This article has been previously purchased by one of our Customers
Category: Tag:

Description

Natural Language Processing (NLP) for Machine Learning

Check out the tabs to the left for more information about this Pre-Written Article

Please Note: the sales price listed above is in AUD Dollars, and there are no shipping costs for ANY of our virtual, downloadable products.

Creative Commons (CC-BY) Licensing Rights

  • The Creative Commons License (CC-BY) lets the purchaser distribute, remix, adapt, and build upon the work for this purchased product, even commercially, as long as they credit the author for the original creation
  • This is the most accommodating of licenses offered in the marketplace
  • This license allows the purchaser to use this product as their own, and even sell it onwards to others – commercially and personally
  • The CC-BY license is recommended for maximum dissemination, and usage of purchased licensed materials bearing this logo

You can read more about the CC-BY license here

Sample Text From This Article

“Natural language processing is an aspect of everyday life, and in some applications, it is necessary within our home and work. For example, without providing too much thought, we transmit voice commands for processing to our home-based virtual home assistants, smart devices, our smartphones – even our automobiles.”

Meta Description for this Article

“This article describes how machine learning can interpret natural language processing and why a hybrid NLP-ML approach is highly suitable.”

  • 20 words used
  • 137 characters used (with spaces)

Meta Description – HTML code:

<meta name=”description” content=”This article describes how machine learning can interpret natural language processing and why a hybrid NLP-ML approach is highly suitable.”/>

Keywords Used within this Article

Frequency – (Percentage used within Article) – Keyword

62 (6%)  language
43 (4%)  natural
41 (4%)  processing
32 (3%)  machine
32 (3%)  learning
32 (3%)  systems
23 (2%)  data
20 (2%)  text
19 (2%)  NLP
18 (2%)  intelligence

Article Writing Brief - 'Natural Language Processing (NLP) for Machine Learning'

This paper analyzes the following statement:

“Natural language processing refers to the technical branch of computer science, or artificial intelligence, that is concerned with providing computer systems with the ability to comprehend digital text and spoken remarks – in much the same way that human beings can accomplish.”

Referencing Used

The Referencing style used with this article:

  1. Minimum 8 x credible, peer-reviewed articles and respected websites
  2. 1 x free/ full rights image courtesy of Unsplash
  3. A separate, formatted Reference section is at the end of the article

Extra Article Info - 'Natural Language Processing (NLP) for Machine Learning'

  • Please Note: the sales price listed above is in AUD – Australian Dollars
  • English (United States) was the dictionary language used in MS Word
  • 2,600-word article (this word count excludes: headers, footers, meta description, and the entire reference section)
  • PDF + DOCX + TXT file format types available
  • 18 x A4 sized pages in length + free rights image from Unsplash
  • This article has been written and quality-checked using Grammarly Premium

Any Questions?

Why not get in touch with the editors at the Pre-Written Blogs, Articles & Content Team if you have any questions regarding this article.

Please complete the following form, and we will get back to you ASAP:

Contact Us
First
Last

Related products