Text analysis APIs are an application programming interface that allows you to access, manipulate, and analyze natural language text. Text analysis APIs can provide you with information about a given text sample’s author, context, sentiment, readability, and more. An API stands for “application programming interface” and describes a set of routines, protocols, and tools for building software applications. To put it simply, a text analysis API is just a tool that lets you do text analysis!
Why should you use text analysis APIs?
There are many existing and rapidly progressing fields that are using natural language processing (NLP). Some examples are computer vision, knowledge representation and reasoning, machine translation, information retrieval, and question answering. These fields use NLP to solve real-world problems and are improving their performance every day.
What is a use case for text analysis APIs?
You can use a text analysis API to categorize your customer’s websites into different industries. This will help you identify better how to best market to them.
Here are some APIs we recommend you try out:
1. Klazify
Klazify is a website classification and customer data API that analyzes a website’s content and meta tags using Natural Language Processing (NLP) and a Machine Learning Engine. This API connects to a specific site or URL, and obtains the data. Then, it categorizes it into over 385 categories using the IAB V2 Standard Classification taxonomy for one-to-one customization.
Thanks to Klazify’s domain classification, customers may provide services like Internet filtering, subscriber statistics, advertising networks, and fraud prevention. Keep in mind that Klazify allows both base domain and entire path URLs when pasting URLs. The domain name and top-level domain (TLD) make up the first, while the second is domain-specific and enables for more in-depth inquiry.
2- Aylien
The Aylien Text Analysis API is a package of Natural Language Processing and Machine Learning-powered solutions for analyzing and extracting various kinds of information from the textual content. It allows you to extract such information as Political Sentiment, Entities, Concepts, Relations between Entities, Hashtags, Authorship, Citations, Emotions, and Categories.
They use Natural Language Processing and machine learning technologies to understand the structure of content at document, article, and Web page levels in order to deeply analyze millions of articles and provide accurate, relevant information in real-time.
3. IBM Watson
IBM Watson is the tech giant’s signature AI platform. Access a full suite of funding APIs, tools, and documentation to develop audio, text, and voice analysis algorithms. Watson’s Natural Language Understanding API provides developers with advanced tools and features to build text analysis models with deep learning algorithms.
The Natural Language Understanding API is powered by machine learning technology and offers features such as sentiment analysis, entity analysis, keyword extraction, and more.
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Get Revenue data using A Company Domain with this API
Also published on Medium.