Do you want to understand text classification and how it could help you? You should keep reading this post!
Text classification is the process of analyzing text sequences and assigning them a label, putting them in a group based on their content.
Before diving into the various text classification techniques, it’s important to take some time to ensure that we have a general understanding of what text classification entails.
Before moving on to examine the various approaches that text classification may be implemented, it is helpful to make sure that we have a solid understanding of the fundamental idea behind it. Text classification is one of those phrases that is applied to many distinct jobs and techniques.
Text classification can refer to any process that involves categorizing various text samples and assigning those samples to various categories. Regardless of the precise method used to categorize the text and regardless of how the text classifier is ultimately used, a system can be regarded a text classifier as long as it completes these fundamental steps.
Text classification is a process that involves taking text as an input and producing a class label for that piece of text. Examples of text classification include identifying email spam, categorizing papers by topic or title, and identifying the tone of a product review.
Classify text using IAB Taxonomy
The Interactive Advertising Bureau (IAB) created its Content Taxonomy to help content providers characterize their work more precisely, to enable more pertinent advertising, and to offer a better and more detailed starting point for data analysis.
Its application cases range from audience segmentation and categorization of advertiser goods and service offerings to contextual targeting and brand safety measurement.
If each category’s significance is greater than a threshold parameter, the bot will do a multilevel categorization and assign numerous categories to a given text. Additionally, the whole analysis provided by the API is returned in JSON format.
Use this bot for media monitoring and content publishing situations, among other automated procedures where it is necessary to categorize information according to a predefined scheme.
Why should you try Text Classification IAB Taxonomy?
Text Classification IAB Taxonomy is the most accurate IAB Taxonomy content classifier. With the classification, you might get a response right away and start arranging your data!
The IAB Taxonomy classifier categorizes texts into one of 360 topics. It has two levels of depth, the main category (e.g. sports, business or science) and subcategories (soccer, agriculture or physics). It’s based on the IAB Quality Assurance Guidelines (QAG) Taxonomy.
What this API receives and what your API provides (input/output)?
With this API, you simply paste the text you wish to categorize, and the IAB taxonomy will be displayed. Just like that!
What are the most common uses cases of this API?
This API is intended to help those companies with a large amount of data that needs to be sorted by category. You will be able to gather text by grouping by category.
Ideal for marketing agencies that want to extract data online and want to categorize it as well.
Also, helpful to classify sentences or slogans, you will be given the exact categorization in IAB standards.
Also published on Medium.