What is Keyword Extraction API?
The Keyword Extraction API enables users to extract essential keywords or phrases from a given text or document. Once a piece of text is inputted, the API generates a list of keywords that are considered the most relevant or representative of the content.
To identify and rank the most important keywords, Keyword Extraction APIs commonly utilize natural language processing (NLP) techniques and machine learning algorithms. These algorithms may consider factors like the frequency of terms, relevance of terms, contextual information and statistical patterns to determine the significance of each keyword.
This technology enables users to automate the process of identifying key concepts within a large volume of text, thereby enabling them to analyze and organize textual data more effectively.
Top Open Source (Free) Keyword Extraction models on the market
For users seeking a cost-effective engine, opting for an open-source model is the recommended choice. Here is the list of the best Keyword Extraction Open Source Models:
1. Yet Another Keyword Extractor (Yake)
YAKE is a simple yet effective method for automatically extracting keywords from a single document, using statistical features to identify the most important terms. Their system does not require specific document training, nor does it rely on dictionaries, external corpora, text size, language, or domain.
2. KeyBERT
KeyBERT is a simple and user-friendly method for extracting keywords that utilize BERT embeddings to generate the most relevant terms and phrases in relation to a document.
3. Python Keyphrase Extraction
Python Keyphrase Extraction (pke) is a Python-based tool for extracting keyphrases from text, available as open source. Its end-to-end pipeline for extraction of keyphrases can be customized easily for developing new models.
4. Rake-Nltk
RAKE, a tool for Rapid Automatic Keyword Extraction, is a method of determining key phrases in a text by examining the frequency and their co-occurrence. It is not limited to specific subject areas.
5. TextRank
This is a python implementation of TextRank for automatic keyword and sentence extraction (summarization).
6. Genism
Gensim is a Python library for topic modeling and document similarity analysis. It includes functions for keyword extraction using algorithms like TF-IDF.
Cons of Using Open Source AI models
While open source models offer many advantages, they also come with some potential drawbacks and challenges. Here are some cons of using open source models:
- Not Entirely Cost Free: Open-source models, while providing valuable resources to users, may not always be entirely free of cost. Users often need to bear expenses related to hosting and server usage, especially when dealing with large or resource-intensive data sets.
- Lack of Support: Open source models may not have official support channels or dedicated customer support teams. If you encounter issues or need assistance, you might have to rely on community forums or the goodwill of volunteers, which can be less reliable than commercial support.
- Limited Documentation: Some open source models may have incomplete or poorly maintained documentation. This can make it difficult for developers to understand how to use the model effectively, leading to frustration and wasted time.
- Security Concerns: Security vulnerabilities can exist in open source models, and it may take longer for these issues to be addressed compared to commercially supported models. Users of open source models may need to monitor for security updates and patches actively.
- Scalability and Performance: Open source models may not be as optimized for performance and scalability as commercial models. If your application requires high performance or needs to handle a large number of requests, you may need to invest more time in optimization.
Why choose Eden AI?
Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs. Eden AI smoothens the incorporation and implementation of AI technologies with its API, connecting to multiple AI engines.
Eden AI presents a broad range of AI APIs on its platform, customized to suit your specific needs and financial limitations. These technologies include data parsing, language identification, sentiment analysis, logo recognition, question answering, data anonymization, speech recognition, and numerous other capabilities.
To get started, we offer free $10 credits for you to explore our APIs.
Access Keyword Extraction providers with one API
Our standardized API enables you to integrate Keyword Extraction APIs into your system with ease by utilizing various providers on Eden AI. Here is the list (in alphabetical order):
- AWS
- Emvista
- IBM Watson
- Microsoft Azure
- NLP Cloud
- OpenAI
- Tenstorrent
1. Amazon- Available on Eden AI
AWS's API is a dependable and efficient option with scalable infrastructure. Advanced customization features offered by AWS enable users to refine the keyword extraction model for their precise requirements. AWS facilitates seamless integration with other AWS services, empowering a comprehensive and unified data processing pipeline.
2. Emvista- Available on Eden AI
The Emvista API utilizes cutting-edge NLP methods and machine learning algorithms to scrutinize text and recognize critical keywords. Emvista offers a Verbatim Analysis solution that presents a well-organized list of the most substantial keywords within a specified context. This potent tool enables users to effortlessly ascertain the keywords with utmost significance.
3. IBM Watson- Available on Eden AI
Drawing on IBM's extensive proficiency in AI and machine learning, the API proficiently pinpoints and prioritizes the most pertinent keywords in a given text, regardless of language or domain. With sophisticated NLP algorithms, IBM guarantees consistently precise results for keyword research output.
4. Microsoft Azure- Available on Eden AI
With the use of Azure's keyword extraction API, extracting crucial keywords and phrases from text documents has become uncomplicated. This allows for more efficient information retrieval and analysis. The API's accuracy and robustness stem from Microsoft's significant expertise in language understanding and NLP research.
5. NLP Cloud- Available on Eden AI
NLP Cloud utilizes state-of-the-art NLP algorithms to guarantee precise identification of keywords, even in intricate and diverse language contexts. Furthermore, NLP Cloud extends comprehensive language support, rendering it appropriate for multilingual applications.
6. OpenAI- Available on Eden AI
Leveraging cutting-edge language models such as GPT-3.5, OpenAI achieves precise identification of keywords with contextual comprehension. With its capability of accommodating various languages and thorough training on vast datasets, OpenAI's API provides unparalleled proficiency and versatility for effective keyword extraction.
7. Tenstorrent- Available on Eden AI
Tenstorrent is able to precisely recognize pertinent keywords and eliminate any extraneous information through its sophisticated machine learning algorithms. The API offers users customization options to refine the keyword extraction model based on their exact needs, which guarantees precise and tailored outcomes.
Pricing Structure for Keyword Extraction API Providers
Eden AI offers a user-friendly platform for evaluating pricing information from diverse API providers and monitoring price changes over time. As a result, keeping up-to-date with the latest pricing is crucial. The pricing chart below outlines the rates for smaller quantities for November 2023, as well as you can get discounts for potentially large volumes.
Check the current prices on Eden AI
How Eden AI can help you?
Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
- Centralized and fully monitored billing on Eden AI for Keyword Extraction APIs
- Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
- Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
- The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
- Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.
You can see Eden AI documentation here.
Next step in your project
The Eden AI team can help you with your Keyword Extraction integration project. This can be done by :
- Organizing a product demo and a discussion to understand your needs better. You can book a time slot on this link: Contact
- By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
- By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
- Having the possibility to integrate on a third-party platform: we can quickly develop connectors.
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