In this article, we are going to see how we can easily integrate a Keyword Extraction engine in your project and how to choose and access the right engine according to your data.
In 1999, Turney hypothesized that keywords facilitate a user’s reading by allowing him to surf from one key point to another when they highlighted in a text. Other researchers use their synthetic virtues in automatic summary construction methods, but keyword extraction is becoming increasingly useful with the rise of the Internet.
In the 2010s, many researchers are interested in automatic keyword extraction and some evaluation campaigns, such as DEFT and SemEval, propose automatic keyword extraction tasks in order to compare the different existing systems. For this purpose, the data and the evaluation method are the same for all systems. Supervised and unsupervised methods are emerging, and are nowadays combined to train keyword extraction engines.
Keyword extraction (also known as keyword detection or keyword analysis) is a text analysis technique that automatically extracts the most used and most important words and expressions from a text. It helps summarize the content of texts and recognize the main topics discussed. Keyword extraction uses machine learning artificial intelligence (AI) with natural language processing (NLP) to break down human language so that it can be understood and analyzed by machines.
You can use Keyword extraction in numerous fields, here are some examples of common use cases:
When you need a Keyword Extraction engine, you have 2 options:
The only way you have to select the right provider is to benchmark different providers’ engines with your data and choose the best text that combines different providers’ engines results. You can also compare prices if the price is one of your priorities, as well as you can do for rapidity.
This method is the best in terms of performance and optimization but it presents many inconveniences:
There are numerous Keyword Extraction engines available on the market: it’s impossible to know all of them, to know those who provide good performance. The best way you have to integrate Keyword Extraction technology is the multi-cloud approach that guarantees you to reach the best performance and prices depending on your data and project. This approach seems to be complex but we simplify this for you with Eden AI which centralizes best providers APIs.
Here is where Eden AI becomes very useful. You just have to subscribe and create an Eden AI account, and you have access to many provider's engines for many technologies including Keyword Extraction. The platform allows you to benchmark and visualize results from different engines, and also allows you to have centralized cost for the use of different providers.
Eden AI provides the same easy to use API with the same documentation for every technology. You can use the Eden AI API to call Keyword Extraction engines with a provider as a simple parameter. With only a few lines, you can set up your project in production.
You are a solution provider and want to integrate Eden AI, contact us at :email@example.com.