Are you looking for a simple solution to boost your efficiency? In this post, you’ll discover how a text analysis API might assist you as a developer and the easiest to use!
APIs and how they can make your life easier may already be familiar to you. APIs can be a terrific method to access information without having to keep it yourself, especially when it comes to data.
Their services extract text and data from scanned documents automatically, and they also provide services for users who want to open and extract content from PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, and other file formats.
You can, for example, access vast amounts of unstructured text. Blog postings, social media updates, and news stories are all examples of this. You may then examine and extract useful information.
APIs can accept any sort of text or HTML as input and return structured data in JSON or XML format as output. The list of outputs will then vary depending on the API used to call services, but it will typically include information about entities found in the input text (websites, brands, companies, etc).
Consider why you’re gathering the data and what you intend to do with it when selecting a text analysis API. You require an API that can manage a vast amount of data while also making sense of it.
A text analysis API’s quality is determined by a number of aspects, the two most essential of which are how effectively it works and how accessible it is. As we know it can be hard to choose from all of the options in the market, we have selected the best 3 APIs for you.
1. Klazify
In today’s world, Klazify is a well-known and commonly utilized API. This tool detects online information using Natural Language Processing (NLP) and evaluates a website’s content and meta tags using a Machine Learning Engine.
Klazify also has a search engine that categorizes online sites and businesses based on their competence. Its mission is to find, rate, and categorize the best websites on the internet (up to 3 levels).
It has a scale of 0 to 1, with 1 denoting complete certainty and 0 denoting absolute ambiguity. Using the IAB V2 Standard Classification taxonomy, this API connects to a specific site or URL, gets data, and then categorizes it into over 385 different categories for one-to-one customisation. Thanks to Klazify‘s domain classification, customers may easily deliver services like Internet filtering, subscriber statistics, advertising networks, and fraud prevention.
2. 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.
This API aids in the automation of ticket labeling and routing in customer service, as well as the automatic detection of unfavorable social media criticism. It can also provide fine-grained information that aids decision-making.
3. SpaCy
SpaCy is a text analysis API that simplifies the process by displaying only the optimal method for each task. It also includes a number of pre-trained models for applications such as named entity identification, text categorization, and POS tagging.
Now that you have these three fantastic options to choose from, go ahead and test them all out to see which one you like.