Extracting intents and entities using rasa-nlu and training on a custom set of utterances

Find outlier/anomaly for multi-class intents using Snips NLU

BERT for joint intent classification and slot filling

A multilingual intent classficiation service

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.

Classification of user intents in their requests to the university QA chatbot using the RuBERT, its modifications, and various techniques.

Code and Analysis for our paper titled 'Fuzzy Classification of Multi-intent Utterances'

Multilingual sentiment analysis and intent classification in Romanian, Bachelors thesis

XCS224U - Winter 2021 - Syed/Aiswarya - Intent Classification - Few Shot - Code and Dataset

GPTIntentAnalyzer leverages the power of OpenAI's GPT (Generative Pre-trained Transformer) to proficiently identify and categorize user intentions within natural language sentences and queries. It specializes in understanding user intentions when interacting with chat systems, virtual assistants, and various text-based communication platforms.

Bayesian Network & Hidden Markov Model implementation for customer intent classification and text denoising | CS5100 AI Project

AI-ассистент

Named Entity Recognition + Sentiment & Intent Classification using Pretrained Language Models for converting Physician Conversations to Medical Notes.

Final project for class Data Science Lab: process and methods; Politecnico di Torino (2022/2023); 1st year of Master's Degree in Data Science and Engineering coursework.

AI-powered speech-to-text and text-to-speech platform with intelligent analysis using Deepgram. Features sentiment analysis, topic detection, intent recognition, and multiple voice personas.

This project uses a Bidirectional LSTM model to classify flight-related queries into 8 intents. Trained on the ATIS dataset, it achieved 97% test accuracy and is ideal for travel-related chatbots.

A PyTorch-based NLP chatbot that uses entity extraction for pincode lookups and general queries in India.

Code repository related to various research and development experiments for the NLU component of a Romanian home assistant. Fork from the research group's repo.

Цель проекта - определение (классификация) намерений (интентов) пользователей по их запросам в общении с чат-ботом или виртуальном ассистентом веломагазина.

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.