Here is our selection of the best Keyword Extraction APIs to help you choose and access the right engine according to your data.
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.
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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.
During the 2010s, the field of automatic keyword extraction has seen significant interest among researchers. Evaluation campaigns, such as DEFT and SemEval, were created to compare various systems, using consistent data and evaluation methods. Additionally, both supervised and unsupervised techniques have been emerging and are nowadays combined to train keyword extraction engines.
Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents. It processes any text file in UTF-8 format, and semi-structured documents, like PDF and Word documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.
Cortical.io provides natural language understanding (NLU) solutions that enable large enterprises to automate the extraction, monitoring, and analysis of key information from any kind of text data. Cortical.io offers AI-based natural language understanding solutions built on technology inspired by Neuroscience.
Emvista provides a Verbatim Analysis solution, which helps deliver an ordered list of the most relevant keywords in the given context.
IBM Natural Language Understanding is a collection of APIs that offer text analysis through natural language processing. This set of APIs can analyze text to help you understand its concepts, entities, keywords, sentiment, and more. Additionally, you can create a custom model for some APIs to get specific results that are tailored to your domain.
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
MonkeyLearn is a Text Analysis platform with Machine Learning to automate business workflows and save hours of manual data processing. They provide pre-built NLP APIs adapted to use cases such as entity extraction, sentiment analysis, text classification, etc. With MonkeyLearn you can also train custom machine learning models to get topic, sentiment, intent, keywords and more.
OneAI’s Keyword Extraction uses machine learning algorithms to analyze text and extract keywords. It has the ability to remove stop words in order to focus on important terms, identify the most relevant keywords based on frequency and context, and return a list of extracted keywords in order of relevance. These functions can be used for various applications such as text summarization, information retrieval, and sentiment analysis.
OpenAI's API leverages state-of-the-art language models, such as GPT-3.5, to accurately extract essential keywords and key phrases from text. Trained on a large corpus of text data with advanced NLP capabilities, Open AI's solution can understand and analyze context, resulting in highly precise keyword identification.
TextRazor offers a complete cloud or self-hosted text analysis infrastructure. They combine state-of-the-art natural language processing techniques with a comprehensive knowledge base of real-life facts to help rapidly extract the value from your documents, tweets or web pages. They provide features such as entity extraction, disambiguation and linking, key phrase extraction, automatic topic tagging and classification.
As natural language processing company, Twinword provides unique experience for your keyword research process. Combining data science and SEO solutions, Twinword Ideas strives to deliver quality multi-language keyword results for any businesses on the web. Twinword Topic Tagging API does more than just extract keywords from the given text, it also generates human-like topics even without the presence of that particular word in the context.
You can use Keyword extraction in numerous fields. Here are some examples of common use cases:
Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate Keyword Extraction tasks in their cloud-based applications, without having to build their own solutions.
Eden AI offers multiple AI APIs on its platform amongst several technologies: Text-to-Speech, Language Detection, Sentiment analysis API, Summarization, Question Answering, Data Anonymization, Speech recognition, and so forth.
We want our users to have access to multiple Keyword Extraction engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs:
You need to set up a provider API that is requested if and only if the main Keyword Extraction API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
After the testing phase, you will be able to build a mapping of providers performance based on the criteria you have chosen (languages, fields, etc.). Each data that you need to process will then be sent to the best Keyword Extraction API.
You can choose the cheapest Keyword Extraction provider that performs well for your data.
This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because Keyword Extraction APIs will validate and invalidate each other for each piece of data.
Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies. Eden AI allows you to call multiple AI APIs.
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You can see Eden AI documentation here
The Eden AI team can help you with your Keyword Extraction integration project. This can be done by :
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