{"id":26522362,"url":"https://github.com/abhayy-kumar/emotion-detection-system","last_synced_at":"2026-05-07T20:02:13.882Z","repository":{"id":283594658,"uuid":"952282828","full_name":"Abhayy-Kumar/Emotion-Detection-System","owner":"Abhayy-Kumar","description":"A machine learning and NLP approach for classifying emotions in text comments.","archived":false,"fork":false,"pushed_at":"2025-03-21T03:06:31.000Z","size":111,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-21T04:22:50.850Z","etag":null,"topics":["emotion-detection","machine-learning","nlp","python","spacy","text-classification"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Abhayy-Kumar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2025-03-21T03:03:23.000Z","updated_at":"2025-03-21T03:13:43.000Z","dependencies_parsed_at":"2025-03-21T04:22:52.752Z","dependency_job_id":"c3051866-5577-4dd3-898c-10aa39b69a08","html_url":"https://github.com/Abhayy-Kumar/Emotion-Detection-System","commit_stats":null,"previous_names":["abhayy-kumar/emotion-detection-system"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhayy-Kumar%2FEmotion-Detection-System","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhayy-Kumar%2FEmotion-Detection-System/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhayy-Kumar%2FEmotion-Detection-System/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhayy-Kumar%2FEmotion-Detection-System/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Abhayy-Kumar","download_url":"https://codeload.github.com/Abhayy-Kumar/Emotion-Detection-System/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244805104,"owners_count":20513220,"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":["emotion-detection","machine-learning","nlp","python","spacy","text-classification"],"created_at":"2025-03-21T13:26:45.093Z","updated_at":"2026-05-07T20:02:08.829Z","avatar_url":"https://github.com/Abhayy-Kumar.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Emotion-Detection-System\nA machine learning and Natural Language Processing (NLP) project that classifies emotions in text comments. This project utilizes spaCy for text preprocessing, TF-IDF for feature extraction, and implements both Multinomial Naïve Bayes and Random Forest classifiers to analyze and predict emotions from a Kaggle dataset.\n\n## Overview\nThe goal of this project is to classify text comments into three emotion categories: **joy**, **fear**, and **anger**. The pipeline involves:\n- **Data Acquisition**: Downloading a Kaggle dataset containing text comments and corresponding emotion labels.\n- **Exploratory Data Analysis (EDA)**: Understanding dataset structure, distribution of emotions, and sample data.\n- **Preprocessing**: Utilizing spaCy for tokenization, lemmatization, and stop word removal.\n- **Feature Extraction**: Converting text data into numerical features using TF-IDF vectorization.\n- **Model Training \u0026 Evaluation**: Implementing Multinomial Naïve Bayes and Random Forest classifiers, followed by evaluating model performance using accuracy scores, classification reports, and confusion matrices.\n- **Visualization**: Plotting confusion matrices with Seaborn and Matplotlib to visually interpret model performance.\n\n\n### Dataset link - https://www.kaggle.com/datasets/abdallahwagih/emotion-dataset\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhayy-kumar%2Femotion-detection-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhayy-kumar%2Femotion-detection-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhayy-kumar%2Femotion-detection-system/lists"}