If you’re looking for a solution to analyze texts on any website without having to use the Komprehend API, you should check out these tools.
Businesses are leveraging the speed, precision, and power of AI systems to unearth crucial insights hidden in social media postings, customer support conversations, product reviews, and more as digital data continues to expand.
Analysis of the text In the workplace, the most popular method for assessing text data is through APIs. Building a complete solution from the ground up takes months, costs a lot of money, and necessitates the engagement of machine learning professionals. APIs make life easier for developers by providing access to pre-built text analysis tools that can be simply integrated into existing applications.
In this regard, the Komprehend AI API is the most comprehensive set of document classification and natural language processing APIs available to software developers. Its natural language processing (NLP) models have been trained on over a billion documents and give cutting-edge accuracy in most common NLP use cases, such as sentiment analysis and emotion recognition.
You should be aware, however, that not all APIs operate in the same way or provide the same results. As a result, Komprehend API might not be the best solution for your needs. There are, however, several excellent alternatives to this platform that may be useful to you.
1- Klazify
Klazify is one of the most reliable classification APIs that are currently on the market. It is an all-in-one domain data source that helps you extract clean and organized information in an easy way.
You can obtain anything you want by using a URL or email. Any kind of elements that come to your mind: logos, company data, locations, and more. With this API you will have an easy and clear understanding of the emotions behind your user’s words and text.
2- SpaCy
SpaCy is a text analysis API that narrows down the options for you by only showing the best algorithm for each task. Also, it comes with several pre-trained models for tasks like named entity recognition, text classification, and part-of-speech (POS) tagging.
Now that you have these three amazing options to use, go for it, try them, and steak with the one you feel the most comfortable with.
3- Aylien
Aylien is a business intelligence system that runs on the cloud. The Text Analysis API is one of its solutions, which uses Natural Language Processing and machine learning technologies to extract information from websites, blogs, Tweets, and other sources.
The Aylien API is simple to use yet extremely powerful, allowing you to conduct activities such as sentiment analysis, language identification, entity extraction, summarization, and much more.
Also published on Medium.