{"id":20074200,"url":"https://github.com/furk4neg3/textemotionrecognition","last_synced_at":"2026-01-20T05:01:45.167Z","repository":{"id":251552711,"uuid":"837744863","full_name":"furk4neg3/TextEmotionRecognition","owner":"furk4neg3","description":"In this project, I've created AI models to predict emotion based on texts. I've used RNN and transfer learning for that. Best model works with 96% accuracy.","archived":false,"fork":false,"pushed_at":"2024-08-05T12:52:03.000Z","size":96,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-06T15:14:21.632Z","etag":null,"topics":["artificial-intelligence","deep-learning","machine-learning","nlp","rnn","rnn-tensorflow","tensorflow","tensorflow2","transfer-learning"],"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/furk4neg3.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":"2024-08-03T22:33:19.000Z","updated_at":"2024-09-22T18:32:27.000Z","dependencies_parsed_at":"2024-08-03T23:33:35.853Z","dependency_job_id":"ba095c5c-7d38-4b0b-b620-aefda42635a0","html_url":"https://github.com/furk4neg3/TextEmotionRecognition","commit_stats":null,"previous_names":["furk4neg3/text_emotion_recognition"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/furk4neg3/TextEmotionRecognition","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/furk4neg3%2FTextEmotionRecognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/furk4neg3%2FTextEmotionRecognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/furk4neg3%2FTextEmotionRecognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/furk4neg3%2FTextEmotionRecognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/furk4neg3","download_url":"https://codeload.github.com/furk4neg3/TextEmotionRecognition/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/furk4neg3%2FTextEmotionRecognition/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28596087,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-20T02:08:49.799Z","status":"ssl_error","status_checked_at":"2026-01-20T02:08:44.148Z","response_time":117,"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":["artificial-intelligence","deep-learning","machine-learning","nlp","rnn","rnn-tensorflow","tensorflow","tensorflow2","transfer-learning"],"created_at":"2024-11-13T14:49:52.229Z","updated_at":"2026-01-20T05:01:45.143Z","avatar_url":"https://github.com/furk4neg3.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Text Emotion Recognition\nIn this project, I've created AI models to predict emotion based on texts. I've used RNN and transfer learning for that. Best model works with 96% accuracy. All data preparation and preprocessing is done by me. Dataset is from Kaggle, link can be found in the notebook.\n\nIMPORTANT NOTE: In the last model, I was going to use TinyBERT model. I tried it and it was taking too long to train, so I switched to USE. But in the naming part, it's still Model 5 (TinyBERT). To fix this issue, I should run the notebook again only changing the name part on the last 2 or 3 cells, which is not worth the time (it's going to take ~3 hours). Please be aware of this naming issue.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffurk4neg3%2Ftextemotionrecognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffurk4neg3%2Ftextemotionrecognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffurk4neg3%2Ftextemotionrecognition/lists"}