{"id":18483910,"url":"https://github.com/computingvictor/thread_app_dataset","last_synced_at":"2026-04-25T23:37:15.866Z","repository":{"id":189683902,"uuid":"681097150","full_name":"ComputingVictor/Thread_app_dataset","owner":"ComputingVictor","description":"Analyses and models based on the \"Thread app dataset: 37000 entities\" Kaggle dataset","archived":false,"fork":false,"pushed_at":"2023-09-18T18:57:29.000Z","size":1084,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-13T20:37:15.320Z","etag":null,"topics":["data-science","dataset","eda","kaggle"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ComputingVictor.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":"2023-08-21T08:58:41.000Z","updated_at":"2023-08-21T09:19:36.000Z","dependencies_parsed_at":"2024-11-06T12:44:39.114Z","dependency_job_id":"b6ca7619-2a52-4c15-bfc1-b3d5ed7da8b4","html_url":"https://github.com/ComputingVictor/Thread_app_dataset","commit_stats":null,"previous_names":["computingvictor/thread_app_dataset"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ComputingVictor/Thread_app_dataset","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ComputingVictor%2FThread_app_dataset","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ComputingVictor%2FThread_app_dataset/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ComputingVictor%2FThread_app_dataset/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ComputingVictor%2FThread_app_dataset/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ComputingVictor","download_url":"https://codeload.github.com/ComputingVictor/Thread_app_dataset/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ComputingVictor%2FThread_app_dataset/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32280981,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-25T18:29:39.964Z","status":"ssl_error","status_checked_at":"2026-04-25T18:29:32.149Z","response_time":59,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["data-science","dataset","eda","kaggle"],"created_at":"2024-11-06T12:37:46.144Z","updated_at":"2026-04-25T23:37:15.849Z","avatar_url":"https://github.com/ComputingVictor.png","language":"Jupyter Notebook","readme":"# Thread App Dataset Analysis\n\n![image](https://github.com/ComputingVictor/Thread_app_dataset/assets/115224707/77df9d78-2f1e-4911-8e05-81499a8cfd50)\n\n## Description\n\nThis repository contains analyses and models based on the \"Thread app dataset: 37000 entities,\" encompassing over 37,000 reviews from the Google Play Store and Apple App Store about the New Thread mobile application.\n\n## Repository Contents\n- 1_ExploratoryDataAnalysis.ipynb: Exploratory Data Analysis (EDA) of the dataset, including visualizations and descriptive statistics.\nUpcoming Work\n- NLP Transformation: Planned transformation and preprocessing of the text contained within the reviews are underway to extract features and prepare the data for modeling.\n\n- Ratings Predictive Analysis: In the upcoming weeks, Machine Learning models, RNNs, and potentially LLM will be implemented to predict user ratings based on the content of their reviews.\n\n## Data Source\nThe original dataset can be found on Kaggle: [Thread app dataset: 37000 entities](https://www.kaggle.com/datasets/shuvammandal121/37000-reviews-of-thread-app-dataset).\n\n\n## Contributions\nContributions are welcome! If you have suggestions or wish to collaborate on upcoming phases of the project, feel free to open an issue or submit a pull request.\n\n## License\nThis project is licensed under the Apache License 2.0. Refer to the LICENSE.md file for details.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcomputingvictor%2Fthread_app_dataset","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcomputingvictor%2Fthread_app_dataset","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcomputingvictor%2Fthread_app_dataset/lists"}