The following article will tell you about three powerful Text Analytics APIs. They are all compatible with the programming language Python.
What is an API?
Before we dive completely into text analytics APIs let’s define what an API is. These focus on sending and extracting important information to other software. Data that will be analysed and worked on. All of this is done in order to obtain a better understanding of the data.
Hence, text analytics APIs will allow you to obtain a better understanding of what is being studied. These data APIs will extract and classify data from open-ended texts. Hence, they are essential if you want to start accomplishing and establishing better strategies and action plans that will yield incredible results. Besides, they will also assist you in gaining a better grasp and categorization of the data analysed.
Text Analytics APIs Compatible With Python
Python is a programming language used to create the majority of applications and pages. Therefore, APIs that work with this language are indispensable. As a result, most businesses prefer to hire professionals who can read, interpret, and use this language. It focuses on the readability and understatement of its code.
On top of that, this kind of APIs can be expensive and hard to get. Thankfully the API market is vast and there are powerful and intelligent tools that will provide text analytics features freely. These are some of the best ones:
Klazify
Klazify is extremely well known for being one of the most accurate content classification APIS. It is an all-in-one domain data source. It uses a smart categorization technology able to scan a website’s content and meta tags. The API extracts text to classify the site and assigns up to three categories aided by natural language processing (NLP)
Klazify also offers three top-level category structures to choose from. Whether you need the deep categorization provided by the IAB taxonomy or prefer a more simple category structure, Klazify will provide it. Also, the API allows you to search for a business/website and classify it into categories (up to 3 category levels). The confidence level (confidence in our API) indicates how confident Klazify is of the categorization. It can range from 0-1, with 1 being super secure and 0 not at all secure.
Monkey Learn
Monkey Learn is a text analysis API that focuses on analyzing and comprehending textual data. It provides you with simple, direct information as well as pre-built text mining examples that you can use to learn how to perform jobs like subject labeling.
With this API you can automatically tag your texts by using text analysis models. You can choose from predefined models or use machine learning to create your own unique classifiers and extractors.
IBM Watson API
The IBM Watson Natural Language Classifier API allows you to interpret natural language using custom text classifiers. This API is one of the most popular on the market. You can use the IBM Watson API to extract insights from texts, understand the sentiment, add automation in workflows, and enhance search and discovery.