If you are looking for the best way to analyze texts of any website without using Komprehend API, you should take a shot at these tools that could be helpful.
As digital data continues to grow, businesses are harnessing the speed, precision, and power of AI systems to uncover key insights hidden in social media postings, customer support interactions, product reviews, and more.
Text analysis APIs are the most common way for evaluating text data in the workplace. Building a complete solution from the ground up takes months, requires the hiring of machine learning experts, and is highly expensive. Developers’ lives are made easier by APIs, which give them access to pre-built text analysis tools that may be easily integrated into existing programs.
In this sense, the Komprehend AI API is the most complete set of document classification and natural language processing APIs available to software developers. Its NLP models have been trained on over a billion documents and deliver cutting-edge accuracy in most typical NLP use-cases like sentiment analysis and emotion recognition.
However, you should be aware that not all APIs work in the same way or produce the same data. As a result, Komprehend API may not be the best option for achieving your objectives. However, there are some great alternatives to this platform that may be of assistance to you.
1- Klazify
Klazify is a website categorization and customer data API that uses Natural Language Processing (NLP) and a Machine Learning Engine to analyze a website’s content and meta tags. For one-to-one personalization, this API connects to a specific site or URL, retrieves data, and then categorizes it into over 385 categories using the IAB V2 Standard Classification taxonomy.
Their Website Categorization API scans a website’s content and meta tags using a machine learning (ML) engine. It uses natural language processing to extract content to classify the site and give up to three categories (NLP).
Customers can offer services like Internet filtering, subscriber statistics, advertising networks, and fraud prevention thanks to Klazify’s domain categorization. When pasting URLs, keep in mind that Klazify accepts both base domain and complete path URLs. The first consists of the domain name and top-level domain (TLD), whilst the second is domain-specific and allows for more in-depth research.
2- 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.
3- Google Cloud Natural Language API
The Google Cloud Natural Language API uses Google’s machine learning technologies to assist enterprises in comprehending and identifying useful information in the text. It primarily provides two sorts of solutions: a set of pre-trained models for analyzing sentiment, finding entities, and categorizing material, and Cloud Auto ML, a suite for building bespoke machine learning models.
Making your models is simple, and there are various tutorials available to guide you through the API.
Also published on Medium.