Businesses are utilizing the speed, precision, and power of AI systems to find important insights hidden in social media postings, customer support conversations, product reviews, and more as digital data continues to expand.
The most prevalent method for evaluating text data in the workplace is to use text analysis APIs. Building a full solution from the ground up takes months, necessitates the use of machine learning specialists, and is quite costly. APIs make life easier for developers by providing access to pre-built text analysis tools that can be readily integrated into existing programs.
MonkeyLearn is a cloud-based text analysis platform with a variety of pre-trained models for applications such as sentiment analysis, keyword extraction, and urgency detection.
You may also create and train your own text analysis models in a few simple steps, tailoring them to your business needs, and connecting them to your preferred tools via APIs (available in all programming languages).
You’ll get your personal API key after signing up for MonkeyLearn, which you can copy and paste into connected tools like Zendesk, Google Sheets, Zapier, and more.
We’ll go through various alternatives in this post, including open-source and SaaS APIs, to help you choose the finest text analysis tools for your company.
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.
You may sign up here.
2. IBM Watson
IBM Watson is the company’s AI platform of choice. Watson’s Natural Language Understanding API gives developers powerful tools and functionalities for creating deep learning text analysis models.
Watson Natural Language Classifier (for text classification), Watson Tone Analyzer (for emotion analysis), and Watson Personality Insights are all useful APIs inside the Watson ecosystem (for customer segmentation).
3. Aylien API
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.