Software Alternatives, Accelerators & Startups

JAICF VS FastText

Compare JAICF VS FastText and see what are their differences

JAICF logo JAICF

Open source Kotlin-based framework by Just AI for conversational assistants and chatbots development

FastText logo FastText

Library for efficient text classification and representation learning
  • JAICF Landing page
    Landing page //
    2023-07-11

JAICF provides ready-to-use libraries to build a conversational project for any voice and chat platform

  • FastText Landing page
    Landing page //
    2022-05-27

JAICF features and specs

  • DSL: Provides Kotlin-based DSL for writing context-aware dialogue scenarios in a declarative style
  • Channels: Connects to any voice and text channels like Amazon Alexa, Google Actions, Slack, Facebook Messenger, and others.
  • NLU: Works with any NLU engines like Dialogflow or Rasa
  • Platforms: Enables developers to create dialogue scenarios that work simultaneously in multiple platforms without any restrictions of platform-related features
  • Test Suites: Contains a JUnit-based test suite to automate dialogue scenarios testing
  • Programming languages: JAICF driven bot can use any Kotlin or Java features and third-party libraries
  • Environment: Can be ran and deployed to any environment using Ktor or Spring Boot
  • NLU: Included NLU activators and popular channels adapters

FastText features and specs

No features have been listed yet.

JAICF videos

No JAICF videos yet. You could help us improve this page by suggesting one.

+ Add video

FastText videos

Beyond word2vec: GloVe, fastText, StarSpace - Konstantinos Perifanos

More videos:

  • Tutorial - fastText Python Tutorial- Text Classification and Word Representation- Part 1
  • Review - [Paper Reivew] FastText: Enriching Word Vectors with Subword Information

Category Popularity

0-100% (relative to JAICF and FastText)
Frameworks (Full Stack)
100 100%
0% 0
Natural Language Processing
Software Development
100 100%
0% 0
Spreadsheets
0 0%
100% 100

User comments

Share your experience with using JAICF and FastText. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, FastText seems to be more popular. It has been mentiond 4 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.

JAICF mentions (0)

We have not tracked any mentions of JAICF yet. Tracking of JAICF recommendations started around Mar 2021.

FastText mentions (4)

  • Building a New Latin Translator | Progress + Need Verification on Conjugations Before I process every word I have available into about 900,000 total forms.
    Here is one library that will be used for the training https://fasttext.cc/ this allows for the consensus across multiple languages so that we can define our mystery word correctly. Source: over 2 years ago
  • Show HN: The Sample – newsletters curated for you with machine learning
    (response to edit) > The classification problem is interesting though. I ended up with a long list of hundreds of topics. Most articles fall in two or more. There's also a sub-problem of clustering news by subject. Yeah, certainly difficult. I'm doing it partially manually right now but also with fastText[1]. I'd like to switch completely to fastText soon though since more often than not the newsletters I add... - Source: Hacker News / almost 3 years ago
  • Show HN: The Sample – newsletters curated for you with machine learning
    I'm planning to build a business on this, so probably won't open-source it--but I'm always looking for interesting things to write about! I write a weekly newsletter called Future of Discovery[1]; I might write up some more implementation details there in a week or two. In the mean time, most of the heavy lifting is done by the Surprise python lib[2]. It's pretty easy to play around with, just give it a csv of... - Source: Hacker News / almost 3 years ago
  • Virtual Sommelier, text classifier in the browser
    FastText is a Facebook tool that, among other things, is used to train text classification models. Unlike Tensorflow.js, it is more intended to work with text so we don't need to pass a tensor and we can use the text directly. Training a model with it is much faster and there are fewer hyperparameters. Besides, to use the model from the browser is possible through WebAssembly. So it's a good alternative to try.... - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing JAICF and FastText, you can also consider the following products

Jovo - 🗣 Build cross-platform apps for Alexa and Google Home

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

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

Gensim - Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.

The Startup Chat Podcast - Hiten and Steli's unfiltered insights and actionable advice.

TrackQueen.io - Get more from your Spotify track.