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ABC’s of a Deep Categorization Structure API

If you want to learn about the main characteristics of a deep categorization API, this article is the one for you!

ABC's of a Deep Categorization Structure API

Deep Categorization Structure API

There were two reasons we developed a deep categorization structure API

  • Extra flexibility
  • Additional content

It provides more granular control over product matching, detecting higher-level categories while ignoring lower-level categories, plus it uses machine learning to boost content with the highest potential impact.

The Deep Categorization Structure API is able to analyze documents, help categorize and classify them. The category-specific keywords, LDA topic classification are available for each document organized by concept, section and text. In addition, a parallel structure of the original text is also returned, which can be directly used for visualization or navigation on large and complex text corpus. Deep categorization is a subject indexing system, usually found in print catalogs, which uses notation to show the hierarchical structure of a subject category. Each deeper level of the hierarchy is represented by an additional digit or letter. Expansive hierarchies use a combination of characters to subdivide into relevant categories.

For example:

Most retailers divide products among broad categories such as electronics and clothing, and within each category, they may have subcategories. When retailers increase product diversity and volume of sales, their category structures commonly grow more complex because of more detailed categorization and subcategories. Implementing a deep categorization structure API makes it easier for shoppers to find the products they want. It also reduces the time that employees spend on manual product management tasks.

Klazify:

Klazify is a powerful tool for analyzing any text in real-time. To utilize this service, all you have to do is input an email address, a URL, or a domain name. With this API, you may retrieve business data such as employee revenue ranges, logo APIs, location, tags, apps used, and industry type. The data is up to date and accurate.

Using industry-leading technology such as machine learning (ML) and natural language processing, Klazify evaluates a website’s content and meta tags for the text and splits it into up to three groups (NLP)

ABC's of a Deep Categorization Structure API

Is This API Confident?

Klazify is one of the most effective solutions for obtaining your logo via API. This software will be classified into various categories in real-time, including location, market category, country, logo, and apps.

Also, Klazify uses Natural Language Processing (NLP) and a Machine Learning Engine.  It examines webpage text and categorizes it into 385+ probable topic groups using the IAB V2 standard. This  API is real-time, so you’ll always have the most up-to-date social network links. The JSON, Python, and PHP Curl formats of the API response make it simple for developers.

READ MORE:

How to Personalize Your Customer’s Journey by Unique Branded Experiences – TheStartupFounder.com

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