NEW: Custom NER available on Eden AI
Tags: ai, api, customner, edenai
Published: 2023-08-01 07:44:47

_Quickly and easily Custom Named Entity Recognition (NER) with just a few simple steps! Custom NER is a natural language processing job that involves finding and classifying specific entities referenced in the text, such as the names of persons, firms, places, dates, and goods._

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##**What is [Custom NER](https://www.edenai.co/feature/custom-ner?referral=new-feature-custom-ner)?**
The task of finding and identifying specific entities mentioned in the text, such as names of people, companies, locations, dates, and items, is known as Custom NER in the field of natural language processing.

NLP models are trained by developers using custom NER to recognize items specific to their domain or use case. Before making a custom entity extraction project available to users, developers may repeatedly label data, train, assess, and improve model performance.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/bcm1plrl5lyas3ggblz8.jpg)

Numerous applications, including the analysis of legal documents, the processing of medical data, the observation of social media, and others, benefit from the usage of custom entity extractors. By using domain-specific data to train the model, developers may obtain more precise and applicable entity recognition for their unique use case.

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[**Try Eden AI for FREE**](https://app.edenai.run/user/register?referral=new-feature-custom-ner)

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## **‍Access many Custom NER providers with one API**
Our standardized API allows you to use different providers on Eden AI to easily integrate Custom entity extraction APIs into your system and offer your users a convenient way to automatically identifying specific entities from the text.

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**Cohere - Available on [Eden AI]
(https://app.edenai.run/user/register?referral=new-feature-custom-ner)**


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ihn4i1hqmgom1b2w2dxa.png)


Cohere’s API allows developers to leverage their generative models for the task of Custom Named Entity Recognition (NER). By using generative LLMs for entity extraction, the model can benefit from the context it acquired during pre-training, leading to improved performance with only a few examples. The API's flexibility allows for potential extensions to other subreddits or different types of entities and information extraction.

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**OpenAI -Available on [Eden AI](https://app.edenai.run/user/register?referral=new-feature-custom-ner)**
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![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/f74r5gepcrvy4tyezjze.png)


Users can interact with the GPT-3 model via the web-based Playground GPT interface, which was made available by OpenAI. Users may adjust the model for NER and other tasks thanks to its user-friendly interface.

Their API can recognize unique domain-specific entities, making it highly adaptable to various industries and applications. Moreover, it leverages machine learning algorithms and annotated training data to efficiently train custom NER models, which results in faster development and deployment of high-quality NER systems.

OpenAI's infrastructure ensures high scalability and reliability, allowing the API to handle large volumes of data and deliver fast and consistent performance.

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**[Try Eden AI for FREE](https://app.edenai.run/user/register?referral=new-feature-custom-ner)**

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## **Benefits of using a Custom NER API**
Using a Custom Named Entity Recognition (NER) API can provide several benefits for businesses and developers looking to extract and classify specific entities from text data. Here are some advantages of using a Custom NER API:

**1. Data Privacy:** A Custom Named Entity Extraction API allows you to process sensitive data internally without sending it to external servers. This can be crucial for applications that handle private or confidential information.

**2. Integration:** An API designed for Custom NER tasks makes it easier to integrate the functionality into your existing applications, reducing development time and effort.

**3. Real-time Processing:** Custom entity extraction can be optimized for real-time processing, making it suitable for applications that require immediate feedback.

**4. Multi-language Support:** Custom NER APIs provide support for multiple languages, which can be essential for applications with international audiences.
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## **What are the uses of Custom NER APIs?**
Custom NER APIs have a wide range of uses across various industries and applications. Here are some common use cases: ‍

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**1. Social Media Monitoring**
Monitoring and analyzing social media requires the use of customized NER APIs. The API collects crucial information for companies and organizations by keeping track of brand mentions, product names, and public personalities on numerous social media platforms.

Understanding the public opinion of a brand or product, sentiment analysis, and marketing insights all benefit greatly from this information. It enables businesses to modify their plans, effectively communicate with their audience, and quickly react to client feedback.

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**2. Document Categorization**
Custom NER APIs are incredibly useful in the field of document management and classification. They excel at automatically classifying the content of documents and identifying entities within them. In a large collection of research articles, for instance, the API can effectively identify important entities like authors, publication dates, affiliations, and study themes.

Researchers' and academics' productivity is substantially increased because of how simple it is to arrange and identify essential study resources owing to this automated categorisation.

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**3. Customer Support and Chatbots**
Custom NER APIs save the day in customer support situations. They assist in comprehending and retrieving crucial information from client inquiries, such as customer names, order numbers, or particular difficulties raised in the conversation.

The customer experience is greatly improved as a result, and response times are decreased thanks to the API's assistance in enabling chatbots and customer support agents to offer clients individualized and effective solutions.

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**4. Healthcare**
Extracting vital information from medical papers using Custom NER APIs is extremely important in the healthcare industry. This involves citing specific items in clinical notes, electronic health records, and research publications, such as medical diagnoses, medications, symptoms, and patient names. The proper identification of these entities by the API accelerates the analysis of patient data, speeds up medical research, and improves the effectiveness of healthcare providers.

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**5. Financial Analysis**
Custom NER APIs are effective tools in the realm of finance. They are able to recognize and extract information from financial news articles or reports on entities such business names, stock symbols, financial measurements, and market happenings. Financial analysts may more effectively watch market trends, choose wise investments, and react quickly to market developments by utilizing this information that has been retrieved.

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## **How to use Custom NER with the Eden AI API?**
To start using Custom NER you need to c[reate an account on Eden AI for free](https://app.edenai.run/user/register?referral=new-feature-custom-ner). Then, you'll be able to get your API key directly from the homepage and use it with free credits offered by Eden AI.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xg0ztivbusdaadih384i.png)


[**Get your API key for FREE**](https://app.edenai.run/user/register?referral=new-feature-custom-ner)

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## **Best Practices for Custom NER on Eden AI**
When implementing Custom NER on Eden AI or any other platform, it's essential to follow certain best practices to ensure optimal performance, accuracy, and security. Here are some general best practices for Custom NER on Eden AI:

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**1. Data Preprocessing:** Clean and preprocess the data before training the model. Remove any irrelevant or noisy information, and standardize the data to improve consistency.

**2. Balancing Entity Classes:** If you have multiple entity classes, make sure that the dataset is balanced, meaning that each class has a reasonable number of examples. Imbalanced datasets can lead to biased models that perform poorly on underrepresented entities.

**3. Handling Out-of-Vocabulary (OOV) Entities:** Implement mechanisms to handle out-of-vocabulary entities, as the model might encounter new or uncommon entities during inference.

**4. Model Monitoring and Updates:** Continuously monitor the model's performance in production and update it regularly as the data distribution and requirements change over time.

**5. Documentation and Versioning:** Properly document your Custom NER API, including the model version, API endpoints, input/output formats, and any limitations or known issues.

**6. Error Analysis:** Perform thorough error analysis to understand the model's weaknesses and areas for improvement. Use this analysis to guide further iterations and enhancements.
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## **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.

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![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7o0q5m7lz63p9prjim64.gif)


- Centralized and fully monitored billing on Eden AI for all Custom NER 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.
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[**Create your Account on Eden AI**](https://app.edenai.run/user/register?referral=new-feature-custom-ner)