{"id":19824989,"url":"https://github.com/mjahmadee/intent_classification","last_synced_at":"2025-02-28T16:29:30.644Z","repository":{"id":181360614,"uuid":"666646778","full_name":"MJAHMADEE/Intent_Classification","owner":"MJAHMADEE","description":"Intent Classification","archived":false,"fork":false,"pushed_at":"2024-03-16T12:48:04.000Z","size":7481,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-11T08:51:38.737Z","etag":null,"topics":["intent-classification","intent-detection","nlp","question-answering"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MJAHMADEE.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-07-15T05:24:54.000Z","updated_at":"2024-11-09T19:15:12.000Z","dependencies_parsed_at":"2025-01-11T08:51:13.720Z","dependency_job_id":"1f047fb8-1cb7-4342-8588-d95e85f15c09","html_url":"https://github.com/MJAHMADEE/Intent_Classification","commit_stats":{"total_commits":4,"total_committers":1,"mean_commits":4.0,"dds":0.0,"last_synced_commit":"baf850efb61e65044d32e43a48b227184f28c8af"},"previous_names":["mjahmadee/intent_classification"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MJAHMADEE%2FIntent_Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MJAHMADEE%2FIntent_Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MJAHMADEE%2FIntent_Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MJAHMADEE%2FIntent_Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MJAHMADEE","download_url":"https://codeload.github.com/MJAHMADEE/Intent_Classification/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241181390,"owners_count":19923431,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["intent-classification","intent-detection","nlp","question-answering"],"created_at":"2024-11-12T11:06:39.196Z","updated_at":"2025-02-28T16:29:30.617Z","avatar_url":"https://github.com/MJAHMADEE.png","language":"Jupyter Notebook","readme":"# Intent Classification using LSTM 🤖\n\n![Python](https://img.shields.io/badge/Python-3.8-blue.svg)\n![TensorFlow](https://img.shields.io/badge/TensorFlow-2.4-orange.svg)\n![NLP](https://img.shields.io/badge/NLP-GloVe-green.svg)\n\nIntent Classification with Neural Networks is an NLP project that uses Long Short-Term Memory (LSTM) networks to classify user queries into predefined categories.\n\n## Features 🌟\n- Utilizes GloVe embeddings for high-quality word representations.\n- Employs LSTM networks to capture long-term dependencies in text data.\n- Offers a detailed pipeline from text preprocessing to model evaluation.\n- Includes multiple model configurations to explore the impact of hyperparameters.\n\n## Setup and Installation 🛠️\n1. Clone the repository.\n2. Install the required Python libraries.\n3. Download and set up the GloVe embeddings.\n4. Prepare the dataset by running the preprocessing scripts.\n\n## Dataset 📁\nThe project is tested on a publicly available intent classification dataset, structured with text inputs and intent labels.\n\n## Model Training and Evaluation 🚀\n- The model training process involves multiple steps including data preprocessing, feature extraction, and training LSTM models.\n- Various configurations with different hyperparameters (like hidden dimensions) are tested to find the best performing model.\n- Evaluation metrics such as accuracy, precision, recall, and F1-score are calculated to assess the model performance.\n\n## Results and Discussion 📊\n- The project includes detailed analysis of the model performance, showcasing the effectiveness of LSTM models in handling text classification tasks.\n- Visualizations like confusion matrices are provided to give insights into model predictions.\n\n## License 📜\nThe project is open-sourced under the MIT License.\n\n## Acknowledgements 🙌\n- Thanks to the Stanford NLP Group for providing the GloVe embeddings.\n- The intent classification dataset contributors for providing a rich dataset for analysis.\n\nFor more details, visit the [GitHub repository](https://github.com/MJAHMADEE/Intent_Classification).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmjahmadee%2Fintent_classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmjahmadee%2Fintent_classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmjahmadee%2Fintent_classification/lists"}