Are you trying to find a good API to perform text classification? You should keep reading this post!
A lot of software systems that process a lot of text data rely on text classification algorithms. Email software uses text classification to decide whether incoming mail should be sent to the inbox or filtered into the spam bin. In discussion forums, text classification is used to evaluate whether remarks need to be marked as unsuitable.
These are two illustrations of topic classification, which is the process by which a text content is categorized into one of a number of predetermined themes. Textual keywords play a significant role in the categorization of many topic classification issues.
The subject of text analysis as a whole is still in its development. The technique of evaluating and extracting information from textual data is already being used in a variety of fields, including marketing, product management, academics, and governance.
What’s text classification?
Text classification, also known as text categorization, is the process of assigning suitable categories from a specified list to natural language documents. Text classification, to put it simply, is the process of removing general tags from unstructured text. These broad groups serve as the source of these generic tags. Creating categories for your content and merchandise makes it easier for users to browse and explore your website or application.
Text classification is mostly demonstrated by the categorization of books in libraries and the division of news items. By incorporating AI technology, the process becomes automated and easier with less manual labor. Does automated filtering and labeling in Gmail come to mind when thinking of the idea of utilizing AI to categorize text?
It can simply be utilized whenever there are specific tags to map to a lot of textual data. This is especially true for marketing now that it has shifted from search engines to social media platforms, where genuine interaction between brands and users happens. Personalization is being used by marketers to increase engagement as marketing becomes more targeted.
Classification can be done on any set of data. The ability of text classification to work on a tagged dataset (in the case of a CRM automation) or without it (reading social sentiments online) just opens up the spaces where this technology can be implemented.
If you want to start organizing your data now with the best API you should try Text Classification IAB Taxonomy.
Why do we recommend Text Classification IAB Taxonomy?
Text Classification IAB Taxonomy is the most accurate IAB Taxonomy content classifier. With the classification, you may quickly receive an answer and begin organizing your data!
Texts are categorized using the IAB Taxonomy classifier into one of 360 subjects. The primary category (such as sports, business, or science) and subcategories make up its two levels of depth (soccer, agriculture or physics). It is based on the Taxonomy of the IAB Quality Assurance Guidelines.
What are the most common uses cases of this API?
This API is meant to assist businesses that have a lot of data that has to be categorized. By categorizing the text, you can collect it. This is also ideal for marketing agencies.
Also, helpful to classify sentences or slogans, you will be given the exact categorization in IAB standards.
Also published on Medium.