{"id":14958891,"url":"https://github.com/jeonghunyoon/text-classification-tensorflow","last_synced_at":"2026-01-21T14:10:06.633Z","repository":{"id":185670482,"uuid":"148183664","full_name":"jeonghunyoon/Text-classification-tensorflow","owner":"jeonghunyoon","description":"Tensorflow highlevel api implementation of \"Convolutional Neural Networks for Sentence Classification\"","archived":false,"fork":false,"pushed_at":"2018-12-07T14:00:36.000Z","size":11062,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-13T18:49:32.301Z","etag":null,"topics":["cnn","neural-network","semantic-analysis","tensorflow","tensorflow-experiments","tensorflow-high-level-apis","text-classification"],"latest_commit_sha":null,"homepage":"","language":"Python","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/jeonghunyoon.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}},"created_at":"2018-09-10T16:15:04.000Z","updated_at":"2020-10-12T07:21:36.000Z","dependencies_parsed_at":null,"dependency_job_id":"858754ea-5903-4035-80d4-dc99946be53f","html_url":"https://github.com/jeonghunyoon/Text-classification-tensorflow","commit_stats":null,"previous_names":["jeonghunyoon/text-classification-tensorflow"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeonghunyoon%2FText-classification-tensorflow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeonghunyoon%2FText-classification-tensorflow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeonghunyoon%2FText-classification-tensorflow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeonghunyoon%2FText-classification-tensorflow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jeonghunyoon","download_url":"https://codeload.github.com/jeonghunyoon/Text-classification-tensorflow/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247687294,"owners_count":20979433,"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":["cnn","neural-network","semantic-analysis","tensorflow","tensorflow-experiments","tensorflow-high-level-apis","text-classification"],"created_at":"2024-09-24T13:18:27.473Z","updated_at":"2026-01-21T14:10:06.604Z","avatar_url":"https://github.com/jeonghunyoon.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Text-classification-tensorflow\n\nThis project is **Sentiment Analysis** for Naver(Korean portal site) movie review.\n\nIt uses **Tensorflow highlevel api** and `CNN`, `RNN` models for classification.\n\nFor simple keras implementation, please refer to \nhttps://github.com/jeonghunyoon/spam-classification-cnn-tf.\n\n\n\n## Data\nhttps://github.com/e9t/nsmc\n\n\n## References\nThis project is based on following papers.\n- http://www.aclweb.org/anthology/D14-1181\n- https://arxiv.org/abs/1510.03820\n\n\n## Run project\n```python\npython executor.py is_first_time parse_type embedding_type\n\n# command example : python executor.py false morphs word2vec\n```\n- is_first_time : \u003cU\u003e*true*\u003c/U\u003e or \u003cU\u003e*false*\u003c/U\u003e. When \u003cU\u003e*true*\u003c/U\u003e it will create all parsed files(morphs, nouns) \nand store it. When \u003cU\u003e*false*\u003c/U\u003e it just load the parsed data according to parse_type.\n\n- parse_type : \u003cU\u003e*morphs*\u003c/U\u003e or \u003cU\u003e*nouns*\u003c/U\u003e\n\n- embedding_type : \u003cU\u003e*doc2vec*\u003c/U\u003e or \u003cU\u003e*word2vec*\u003c/U\u003e. LDA, NMF will be added.\n\n\n## Performance\n- parse_type : morphs, embedding_type : word2vec \n    - accuracy = 0.8116487, area_under_auc = 0.8694117\n\n\n## Author\nJeonghun Yoon\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeonghunyoon%2Ftext-classification-tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjeonghunyoon%2Ftext-classification-tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeonghunyoon%2Ftext-classification-tensorflow/lists"}