Do you want to find a good API to perform text classification? You should keep reading this post!
Our language naturally extends into text. It was a natural progression in our evolution, one that we took created in combination with other innovations like tool fabrication. We proceeded to move toward creating a knowledge-based, hierarchical society by developing mechanisms to record and repeat our spoken words so that someone other than ourselves could carry them. We expanded our minds and memories outside of our bodies into the surroundings thanks to text technology.
Texts are the language’s “hot spots”: concentrated areas of linguistic activity, forms of language that command heightened attention and, occasionally, generate strong emotion, inspire admiration and desire, or serve as the foundation of memory.
Texts exist apart from dialogue so you can cite, repeat, and discuss it with other people. As such, they are forms of language that, whether written or spoken, have a certain independence and prestige. However, all texts, including those that someone writes, are speech acts that are rooted in the context of their emission and reception.
What’s text classification?
When we talk about text classification we’re talking about a machine learning technique that allows us to structure, organize and categorize basically any text (can be for example a document or a file on the web). How does it do that? It assigns to unstructured text a group of predefined categories.
For instance, you can organize new articles by topics; support tickets by urgency; chat conversations by language; brand mentions by sentiment; and so on.
Analyzing text can be a hard job for a person; there are emails, legal documents, chatbots, social media, surveys, etc. With a text classifier, you can automatically structure this data. This can save you time and money and will permit your company to make data-driven business decisions.
Some examples of text classification:
Language Detection
Another excellent illustration of text classification, or the process of classifying incoming text in accordance with its language, is language detection. Routing uses these text classifiers frequently (e.g., route support tickets according to their language to the appropriate team).
Intent Detection
Another excellent application for text classification that examines text to determine the motivation behind feedback is intent detection or intent classification. A consumer may be voicing a complaint or a desire to buy a product. You can use it to generate product analytics, respond to marketing emails, provide customer assistance, and automate corporate procedures.
Our recommendation if you’re looking for a text classifier is: Text Classification IAB Taxonomy
Text Classification IAB Taxonomy is the best IAB Taxonomy content classifier. It is not only incredibly precise, but you can use its classification to easily arrange 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 follows the Taxonomy of the IAB Quality Assurance Guidelines.
What are the most common uses cases of this API?
This API assists 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, they’ll give you the exact categorization in IAB standards.
Also published on Medium.