{"id":20653134,"url":"https://github.com/marxmit7/twitanalysis","last_synced_at":"2026-05-03T17:33:10.783Z","repository":{"id":128084880,"uuid":"143069737","full_name":"marxmit7/TwitAnalysis","owner":"marxmit7","description":"Twit sentiment analysis using deep learning","archived":false,"fork":false,"pushed_at":"2018-08-01T07:27:02.000Z","size":11131,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-06-08T06:08:23.279Z","etag":null,"topics":["analysis","deep","keras","learning","nlp","python","tensorflow","twitter"],"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/marxmit7.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":"2018-07-31T20:59:36.000Z","updated_at":"2023-03-04T10:48:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"74904f7a-2b7a-49e0-b85d-55ae7155502f","html_url":"https://github.com/marxmit7/TwitAnalysis","commit_stats":null,"previous_names":["marxmit7/twitanalysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/marxmit7/TwitAnalysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marxmit7%2FTwitAnalysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marxmit7%2FTwitAnalysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marxmit7%2FTwitAnalysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marxmit7%2FTwitAnalysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/marxmit7","download_url":"https://codeload.github.com/marxmit7/TwitAnalysis/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marxmit7%2FTwitAnalysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32578605,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-03T06:36:36.687Z","status":"ssl_error","status_checked_at":"2026-05-03T06:36:09.306Z","response_time":103,"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":["analysis","deep","keras","learning","nlp","python","tensorflow","twitter"],"created_at":"2024-11-16T17:41:40.496Z","updated_at":"2026-05-03T17:33:10.759Z","avatar_url":"https://github.com/marxmit7.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Twitter sentiment analysis\n\n\n\n\n\n### Dataset used\n[Thinkbook](http://thinknook.com/wp-content/uploads/2012/09/Sentiment-Analysis-Dataset.zip)\n\n### How to Use\n```\npip3 install -r requirements.txt\npython useit.py\n```\n\n## Self.blog\n\nI used this network architecture\n\n\n![model.png](model.png)\n\nOn 5th epoch , validation accuracy came out as 79.36 %\n\n\nIt took me around ~ 3 hour to train the model .\nThis project is quite simple and interesting. Here are some examples that I tested.\n\n\nInput a twit to be evaluated  :  `My deep learning model is working so fine`\n\n\n`positive sentiment 91.65% confidence `\n\nInput a twit to be evaluated  :  `I love fashion`\n\n`positive sentiment 91.50% confidence`\n\nInput a twit to be evaluated  :  `i don't want this to  happen again`\n\n`negative sentiment 90.93% confidence `\n\n\n\n\n\n\n### Developer\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n    \u003cimg src=\"https://avatars0.githubusercontent.com/u/22710677?s=400\u0026u=4968e080c41487c896bde030ac71c7eec82bd406\u0026v=4\" width=\"180\"/\u003e\n\n        Amit Kumar\n\n\u003cp align=\"center\"\u003e\n\u003ca href = \"https://github.com/amit2rockon\"\u003e\u003cimg src = \"http://www.iconninja.com/files/241/825/211/round-collaboration-social-github-code-circle-network-icon.svg\" width=\"36\" height = \"36\"/\u003e\u003c/a\u003e\n\u003ca href = \"https://twitter.com/amit2rockon7\"\u003e\u003cimg src = \"https://www.shareicon.net/download/2016/07/06/107115_media.svg\" width=\"36\" height=\"36\"/\u003e\u003c/a\u003e\n\u003ca href = \"https://www.linkedin.com/in/amit2rockon/\"\u003e\u003cimg src = \"http://www.iconninja.com/files/863/607/751/network-linkedin-social-connection-circular-circle-media-icon.svg\" width=\"36\" height=\"36\"/\u003e\u003c/a\u003e\n\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/table\u003e\n\n\nWant to contribute?\nJust raise an issue and Give PR !","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarxmit7%2Ftwitanalysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmarxmit7%2Ftwitanalysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarxmit7%2Ftwitanalysis/lists"}