Software Alternatives & Reviews

rasa NLU VS Amazon Comprehend

Compare rasa NLU VS Amazon Comprehend and see what are their differences

rasa NLU logo rasa NLU

A set of high level APIs for building your own language parser

Amazon Comprehend logo Amazon Comprehend

Discover insights and relationships in text
  • rasa NLU Landing page
    Landing page //
    2023-09-20
  • Amazon Comprehend Landing page
    Landing page //
    2022-02-01

rasa NLU videos

Rasa X Tutorial 1: Constructing a Basic AI Assistant

More videos:

  • Demo - Rasa X Tutorial 2: Expanding Language Understanding

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

Category Popularity

0-100% (relative to rasa NLU and Amazon Comprehend)
Chatbots
100 100%
0% 0
Spreadsheets
0 0%
100% 100
Chatbot Platforms & Tools
NLP And Text Analytics
0 0%
100% 100

User comments

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Social recommendations and mentions

rasa NLU might be a bit more popular than Amazon Comprehend. We know about 22 links to it since March 2021 and only 19 links to Amazon Comprehend. 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.

rasa NLU mentions (22)

  • A Dive into Conversational AI
    Beyond raw language models, NLP engines like Rasa and Dialogflow offer frameworks for designing, building, and improving conversational flows. They help in intent recognition, entity extraction, and dialogue management, which are crucial for a coherent conversation structure. - Source: dev.to / about 2 months ago
  • Compromising LLM-Integrated Applications with Indirect Prompt Injection
    There are frameworks out there for doing that kind of thing, see https://rasa.com/ for example. It's not using any LLMs at the moment, just BERT and DIET mostly but it's highly customizable and you could likely bring in an LLM for doing some interesting things to handle more complex messages from users. - Source: Hacker News / 12 months ago
  • ChatGPT Goldmine: Top 5 Money-Making Opportunities You Can't Miss!
    Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / about 1 year ago
  • How to create an AI model that learns from textbooks and can be asked about the information in them
    Rasa is a popular tool used right now to build these applications. If you're looking for a serious turn-key solution I would check out Vectara. Source: about 1 year ago
  • Top 8 AI and Machine Learning Trends to Watch in 2023
    Another example is RASA, one of the most popular platforms for creating conversational AI assistants. On the accepted AI quality scale, RASA reaches levels 3 and 4. It means that the "robot" not only understands humans with high accuracy in a given contextual field but also learns to recognize contradictions and ulterior motives. - Source: dev.to / over 1 year ago
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Amazon Comprehend mentions (19)

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What are some alternatives?

When comparing rasa NLU and Amazon Comprehend, you can also consider the following products

Dialogflow - Conversational UX Platform. (ex API.ai)

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

Microsoft Bot Framework - Framework to build and connect intelligent bots.

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

Wit.ai - Easily create text or voice based bots that humans can chat with on their preferred messaging...

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