The chore of this article will focus on three powerful and intelligent open-source & Saas text analysis APIs. But first, let’s understand what these two characteristics refer to.
Open-Source & SaaS
My intention is for this article to be useful and intuitive. This is why I will first break into two what Open Source & Saas means. The first one refers to providing organizations with access to pre-existing, free-to-use software libraries that can be readily integrated into their own programming. The second one refers to Software as a service that allows businesses to use all of the software services they require without having to develop it themselves.
As you can see they can go together. They will give you a competitive advantage in the market by offering a service that is already complete, strong, and powerful. A service that, if it didn’t exist you would have had to create. A process that is complex and requires time, money, and professionals.
Text Analysis APIs
Now that we understand this first part. Let’s dive into the importance of text analysis APIs. These tools will let you extract meaningful data from unstructured and open-ended texts. It will provide the forms of data that are most useful to your goals by supporting you with its organization and classification. Artificial Intelligence and Machine Learning techniques are used in this type of application programming interface. As a result, companies may make predictions and identify links between various areas of their operations.
This being said, the action of implementing open-source & SaaS text analysis APIs is a no-brainer for any company. This is why I recommend the following three:
Klazify
Klazify is extremely well known for being one of the most accurate content classification APIS. It is an all-in-one domain data source. It uses a smart categorization technology able 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)
Klazify also offers three top-level category structures to choose from. Whether you need the deep categorization provided by the IAB taxonomy or prefer a more simple category structure, Klazify will provide it. The API allows you to search for a business/website and classify it into categories (up to 3 category levels).
HTTP Tracking API
You may record analytics data from any website or application using the Segment HTTP Tracking API. Segment receives the requests and routes your data to whichever destination you specify.
Most use cases (such as JavaScript and iOS) have native sources that are built for high performance and open source. However, you may want to communicate directly to the HTTP API on occasion, which is what this reference is for.
NLTK
The NLTK API shows a variety of techniques for solving specific text analysis problems like subject categorization and named entity recognition. It allows you to select the data analysis technique that produces the best results. It is not, however, suitable for working with time-consuming jobs or large amounts of data. NLTK includes a number of APIs that can help with tasks like sentiment analysis, keyword extraction, tagging, and more