Software Alternatives, Accelerators & Startups

Amazon Comprehend VS NLP.js

Compare Amazon Comprehend VS NLP.js and see what are their differences

Amazon Comprehend logo Amazon Comprehend

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An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more - axa-group/nlp.js
  • Amazon Comprehend Landing page
    Landing page //
    2022-02-01
  • NLP.js Landing page
    Landing page //
    2023-08-02

Amazon Comprehend features and specs

  • Scalability
    Amazon Comprehend can scale with your needs from small projects to large-scale enterprise applications without the need for manual intervention.
  • Integration
    It integrates seamlessly with other AWS services like S3, Lambda, and Redshift, making it easier to build comprehensive data processing and analysis pipelines.
  • Multi-Language Support
    Supports multiple languages, including English, Spanish, French, German, and many more, catering to a global audience.
  • Advanced Features
    Offers advanced features such as sentiment analysis, entity recognition, topic modeling, and custom entity recognition, which add significant value.
  • Ease of Use
    User-friendly API and documentation make it straightforward for developers to implement and utilize its functionalities.

Possible disadvantages of Amazon Comprehend

  • Cost
    The service can become expensive, especially for high-volume processing and real-time analysis tasks, which may not be cost-effective for smaller businesses.
  • Limited Customization
    While it offers custom entity recognition, the overall customization options are fairly limited compared to some on-premises or open-source solutions.
  • Data Privacy Concerns
    Sending sensitive data to a third-party cloud service may raise privacy and compliance concerns, especially for industries with strict data protection regulations.
  • Dependency on AWS Ecosystem
    Businesses that do not already use AWS services may find it less convenient to integrate and utilize, potentially creating vendor lock-in.
  • Latency
    For real-time applications, the latency involved in sending data to and from AWS servers can be a drawback, affecting performance.

NLP.js features and specs

No features have been listed yet.

Amazon Comprehend videos

Building Text Analytics Applications on AWS using Amazon Comprehend - AWS Online Tech Talks

More videos:

  • Tutorial - How to Analyse Text with Amazon Comprehend - Sentiment Analysis and Entity Extraction tutorial
  • Review - Analyzing Text with Amazon Elasticsearch Service and Amazon Comprehend - AWS Online Tech Talks

NLP.js videos

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Category Popularity

0-100% (relative to Amazon Comprehend and NLP.js)
Spreadsheets
90 90%
10% 10
NLP And Text Analytics
Natural Language Processing
AI
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Amazon Comprehend should be more popular than NLP.js. It has been mentiond 23 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Comprehend mentions (23)

  • Building a RAG System for Video Content Search and Analysis
    Speech-to-Text Conversion: The AudioProcessing class extracts and processes audio using Amazon Transcribe StartTranscriptionJob API . With IdentifyMultipleLanguages as True , Transcribe uses Amazon Comprehend to identify the language in the audio, If you know the language of your media file, specify it using the LanguageCode parameter. - Source: dev.to / 24 days ago
  • Build a Smart Chatbot with AWS Lambda, Lex, and Enhanced Sentiment Analysis - (Let's Build 🏗️ Series)
    To learn more about Amazon Comprehend: Official Page. - Source: dev.to / 6 months ago
  • Amazon Comprehend for Text and Document Analysis
    Reference : https://aws.amazon.com/comprehend/. - Source: dev.to / 6 months ago
  • Challenging the AWS AI Practitioner Beta - My exam experience and insights
    The exam also tests your knowledge of other managed AWS AI services, like Comprehend and Transcribe. These questions generally focused on identifying the appropriate service for a given scenario, which aligns more with the foundational category of the exam. - Source: dev.to / 8 months ago
  • Building Serverless Applications with AWS - Data
    Would you like additional capabilities like connecting to Machine Learning, Dashboards and Quicksight and leveraging other tools like Comprehend. - Source: dev.to / almost 2 years ago
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NLP.js mentions (8)

  • Natural Language Processing (NLP) in JavaScript (series 2)
    We'll use the "natural" NLP library; follow the previous session to understand how to set up your environment. - Source: dev.to / almost 2 years ago
  • Natural Language Processing (NLP) in JavaScript (series)
    Several NLP libraries are available, each offering distinct features and functionalities. One popular choice in the JavaScript ecosystem is the Natural Language Toolkit for JavaScript (NLP.js), which provides a wide range of NLP capabilities. - Source: dev.to / almost 2 years ago
  • [AskJS] Rate a string on how much sense it makes
    For a JS based approach you could try NLP libraries like this one: https://github.com/axa-group/nlp.js. Source: about 2 years ago
  • The full tech stack to run a chatbot — behind the scenes of an open source bot platform
    To determine which chatbot intent is the best match for the user textual input, we rely on nlp.js (in JS) though we are in the process of moving to our new Python NLP server for better optimization of the needs of eCommerce conversations. A preprocessor language model is also used to improve the chances of a matching. - Source: dev.to / almost 3 years ago
  • How to build your own chatbot NLP engine
    Probably not. In fact, in Xatkit we aim to be a chatbot orchestration platform exactly to avoid reinventing the wheel and the non-invented here syndrome. So, in most cases, other existing platform (like DialogFlow or nlp.js) will work just fine. But we have also realized that there are always some particularly tricky bots for which you really need to be able to customize your engine to the specific chatbot... - Source: dev.to / about 3 years ago
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What are some alternatives?

When comparing Amazon Comprehend and NLP.js, you can also consider the following products

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

NLTK - NLTK is a platform for building Python programs to work with human language data.

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

Google Cloud Natural Language API - Natural language API using Google machine learning

Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.

Medallia - Medallia enables companies to capture customer feedback, understand it in real-time, and take action to improve the customer experience (CX).