Title: Community Standards · GitHub
Open Graph Title: Community Standards · bholeneha/Text_Classification
X Title: Community Standards · bholeneha/Text_Classification
Description: This project tests if machine learning provides a sufficient accuracy level for predicting topic classification on unseen text. LDA and Naive Bayes algorithms used. Data cleaned and uploaded to AWS S2 storage and imported to google colab using PySpark for analysis. - Community Standards · bholeneha/Text_Classification
Open Graph Description: This project tests if machine learning provides a sufficient accuracy level for predicting topic classification on unseen text. LDA and Naive Bayes algorithms used. Data cleaned and uploaded to AWS...
X Description: This project tests if machine learning provides a sufficient accuracy level for predicting topic classification on unseen text. LDA and Naive Bayes algorithms used. Data cleaned and uploaded to AWS...
Opengraph URL: https://github.com/bholeneha/Text_Classification
X: @github
Domain: patch-diff.githubusercontent.com
| route-pattern | /:user_id/:repository/community(.:format) |
| route-controller | community |
| route-action | index |
| fetch-nonce | v2:301c889c-17e2-3a38-a1b6-1807b85ada51 |
| current-catalog-service-hash | 0e6226657ff8773864d5b7434d39e8b66009daff0418b1ef079c8dd6b5e4d6d7 |
| request-id | ABEE:3BCC76:A3327:D079D:698D4574 |
| html-safe-nonce | 4eb700f26e88688538fa22d2d1efc6e6e5b0e4bf7145509f984d68aa39044d29 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJBQkVFOjNCQ0M3NjpBMzMyNzpEMDc5RDo2OThENDU3NCIsInZpc2l0b3JfaWQiOiI1OTY1NTQwMzc1Njc4MjQwMTE3IiwicmVnaW9uX2VkZ2UiOiJpYWQiLCJyZWdpb25fcmVuZGVyIjoiaWFkIn0= |
| visitor-hmac | 74c0a8a8c29e0db426c0775f360e0d3eb8dcd3e7b935d8a283a91f1728ef8bb7 |
| hovercard-subject-tag | repository:367647888 |
| github-keyboard-shortcuts | repository,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/bholeneha/Text_Classification/community |
| twitter:image | https://opengraph.githubassets.com/64ebdc237d24051d07c6f5a6e4bc3c3fa5d95ea9ac32330d1a50cf4a9ade0980/bholeneha/Text_Classification |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/64ebdc237d24051d07c6f5a6e4bc3c3fa5d95ea9ac32330d1a50cf4a9ade0980/bholeneha/Text_Classification |
| og:image:alt | This project tests if machine learning provides a sufficient accuracy level for predicting topic classification on unseen text. LDA and Naive Bayes algorithms used. Data cleaned and uploaded to AWS... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | c0818105fa276287e9369cfdefa0a0fa7953719791ceff9b94d69623c0a4fe8a |
| turbo-cache-control | no-preview |
| go-import | github.com/bholeneha/Text_Classification git https://github.com/bholeneha/Text_Classification.git |
| octolytics-dimension-user_id | 73863003 |
| octolytics-dimension-user_login | bholeneha |
| octolytics-dimension-repository_id | 367647888 |
| octolytics-dimension-repository_nwo | bholeneha/Text_Classification |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 367647888 |
| octolytics-dimension-repository_network_root_nwo | bholeneha/Text_Classification |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | bc912d4349851e5f32c76bbb213754e40947d7a6 |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width