NLTK VS rasa NLU

NLTK

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

rasa NLU

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

Landing page //
2023-01-25

Landing page //
2023-09-20

29 Python NLTK Text Classification Sentiment Analysis movie reviews

rasa NLU videos

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Rasa X Tutorial 1: Constructing a Basic AI Assistant

Category Popularity

0-100% (relative to NLTK and rasa NLU)

rasa NLU

Spreadsheets

100 100%

Spreadsheets

0% 0

Chatbots

0 0%

Chatbots

100% 100

Natural Language Processing

100 100%

Natural Language Processing

0% 0

Chatbot Platforms & Tools

0 0%

Chatbot Platforms & Tools

100% 100

User comments

Share your experience with using NLTK and rasa NLU. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, rasa NLU should be more popular than NLTK. It has been mentiond 22 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.

NLTK mentions (3)

Just created an app to help me practice my Polish grammar. The passages are from classical literature available in the public domain. If you would like to try it, the link is in the comments.
To give you some further inspiration, you might want to check out the NLTK (Natural Language Toolkit - https://www.nltk.org/ ). It is a huge collection of tools for language data processing in general. Source: 12 months ago
Which not so well known Python packages do you like to use on a regular basis and why?
I work mostly in the NLP space, so other libraries I like are spaCy, nltk, and pynlp lib. Source: over 1 year ago
How to make/program an AI? Is it even possible?
Learn some Python and play around with existing AI libraries. Go through things like nltk.org and some freecodecamp tutorials to get some hands-on knowledge. Follow this sub and watch the kinds of projects people are creating. Source: over 2 years ago

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 / 11 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