https://github.com/alexsosn/associationbot

iOS association game chatbot. AI based on neural word embedding language model. Image recognition with convolutional neural net.
https://github.com/alexsosn/associationbot

chatbot ios machine-learning natural-language-processing neural-network word2vec

Last synced: 10 months ago
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iOS association game chatbot. AI based on neural word embedding language model. Image recognition with convolutional neural net.

• Host: GitHub
• URL: https://github.com/alexsosn/associationbot
• Owner: alexsosn
• License: apache-2.0
• Created: 2015-11-13T21:55:02.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2016-07-22T10:55:07.000Z (almost 10 years ago)
• Last Synced: 2025-04-11T22:42:41.983Z (about 1 year ago)
• Topics: chatbot, ios, machine-learning, natural-language-processing, neural-network, word2vec
• Language: Objective-C
• Homepage:
• Size: 72.2 MB
• Stars: 18
• Watchers: 4
• Forks: 11
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# AssociationBot

##iOS association game chatbot.

![Screen Shot](https://raw.githubusercontent.com/alexsosn/AssociationBot/master/Screenshots/Screen%20Shot%201.png)

![Screen Shot](https://raw.githubusercontent.com/alexsosn/AssociationBot/master/Screenshots/Screen%20Shot%202.png)

- UI based on [JSQMessagesDemo](https://github.com/jessesquires/JSQMessagesViewController).

- Association database created with the help of [Word2Vec](https://github.com/alexsosn/Word2Vec-iOS) neural word embedding model.

- [DeepBeliefSDK](https://github.com/jetpacapp/DeepBeliefSDK) used for image classification. Only 1000 image categories for now.

- [UIReference​Library​View​Controller](http://nshipster.com/dictionary-services/) used for dictionaries.

- [AVSpeechSynthesizer](http://nshipster.com/avspeechsynthesizer/) for text to speech;

- [NSLinguisticTagger](http://nshipster.com/nslinguistictagger/) for lemmatisation;

- Tap on image to look for a term on [500px.com](https://500px.com/);

- Some pieces of code from Stack Overflow.