Extracting intents and entities using rasa-nlu and training on a custom set of utterances
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Updated
Sep 11, 2018 - JavaScript
Extracting intents and entities using rasa-nlu and training on a custom set of utterances
AI Chatbot with Intent Classification A modern chatbot app powered by TensorFlow.js for client-side intent recognition. Designed for fast, lightweight performance, featuring dark mode support, animated SVG robot logo, and a responsive chat interface with typing indicators all running entirely in the browser with no server-side dependencies.
A JavaScript-prioritised implementation of Janex, which is a free open-source framework which can be used to build Machine Learning tools, LLMs, and Natural Language Processing scripts with full simplicity.
A chatbot that answers basic FAQs for onboarding new interns.
An AI-powered bilingual Whatsapp bot to resolve academic queries of the parents of college going students
Imbalanced Intent classification model with deployment
WhatsApp Chat Analysis WebApp
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...
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