If you are a developer, a developer in progress, or a company that works closely with development projects. This information will be useful for you. The current article will focus on the best text analysis APIs in PHP. One of the most common and useful programming languages. With this introduction, we are ready to start.
Application Programming Interfaces
Like you have already read through the title. APIs are application programming interfaces that extract and send reliable and accurate data to a Software. An API is kind of really good messenger. You ask for the data you are looking for and it provides. Whether it’s customer data, income data, prospects data, or more… these APIs will serve you.
Therefore, APIs can become your best partner in terms of speed, accuracy, and reliability. If you ask someone that has ever implemented a program, application, or software; you will realize APIs are always present in the process. At the end of the day without them, it couldn’t be possible. They are the allies one could ever ask for!
As I said at the beginning, PHP is a common programming language. It tends to be especially used in web development projects. Therefore, the use of APIs that work with this PHP is crucial. Text Analysis APIs have a power that not every API has. These can give you insight into the texts you are analysing.
When I use the word insights, I refer to information that is not explicitly described but that is kind of hidden and has a huge impact on your company and projects. This being said, I will now follow to recommend you three amazing text analysis APIs in PHP.
Klazify is one of the most accurate online data collection solutions for email, URL, and domain. You can obtain any kind of details, sources, and statistics you may want to have. Such as logos, codes, locations; really any type of elements that may come to your mind right now.
Klazify has a Smart Categorization Technology. This API uses a machine learning (ML) engine to scan a website’s content and meta tags. It extracts text to classify the site and assigns up to three categories aided by natural language processing (NLP).
The IBM Watson Natural Language Classifier API allows you to interpret natural language using custom text classifiers. This API is one of the most popular on the market. You can use the IBM Watson API to extract insights from texts, understand the sentiment, add automation in workflows, and enhance search and discovery.
Monkey Learn is another text analysis API that focuses on evaluating and understanding textual information. It offers you direct easy information, and pre-built text mining examples you can use to understand how to carry out tasks such as topic labeling.
With these three, depending on what you are looking for. You are ready to take advantage of them all. Go ahead and keep improving day by day your game!