{"id":13696995,"url":"https://github.com/julian-risch/JCDL2018","last_synced_at":"2025-05-03T17:32:43.416Z","repository":{"id":104541056,"uuid":"249838182","full_name":"julian-risch/JCDL2018","owner":"julian-risch","description":"Code for our JCDL 2018 Paper on Entropy-Based Topic Modeling","archived":false,"fork":false,"pushed_at":"2020-09-25T18:42:48.000Z","size":969,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-03T11:47:00.924Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Java","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/julian-risch.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":"2020-03-24T23:10:09.000Z","updated_at":"2023-03-24T14:13:00.000Z","dependencies_parsed_at":null,"dependency_job_id":"b90b1560-eb6e-444d-aa9d-d1577b45d7dc","html_url":"https://github.com/julian-risch/JCDL2018","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/julian-risch%2FJCDL2018","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/julian-risch%2FJCDL2018/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/julian-risch%2FJCDL2018/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/julian-risch%2FJCDL2018/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/julian-risch","download_url":"https://codeload.github.com/julian-risch/JCDL2018/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252226910,"owners_count":21714894,"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":[],"created_at":"2024-08-02T18:00:51.180Z","updated_at":"2025-05-03T17:32:43.410Z","avatar_url":"https://github.com/julian-risch.png","language":"Java","funding_links":[],"categories":["Models"],"sub_categories":["Miscellaneous topic models"],"readme":"# JCDL2018\nHere, we publish source code of our entropy-based cross-collection topic model. This code is a reference implementation of our paper our paper [**My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections**](https://hpi.de/fileadmin/user_upload/fachgebiete/naumann/people/risch/risch2018entropy.pdf) at the ACM/IEEE Joint Conference on Digital Libraries 2018.\n\n## Citation\n\nIf you use our work, please cite our paper as follows:\n\n    @inproceedings{risch2018approach,\n    author = {Risch, Julian and Krestel, Ralf},\n    booktitle = {Proceedings of the Joint Conference on Digital Libraries (JCDL)},\n    pages = {283-292},\n    title = {My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections},\n    year = {2018}\n    }\nPlease also note our earlier short paper [**What Should I Cite? Cross-Collection Reference Recommendation of Patents and Papers**](https://hpi.de/fileadmin/user_upload/fachgebiete/naumann/people/risch/risch2017what.pdf) on a related topic published at the International Conference on Theory and Practice of Digital Libraries (TDPL).\n\n## Implementation\n* `TopicModelCcLDA.java` implements entity-based cross-collection latent Dirichlet allocation\n* `RunTopicModel.java` starts the training of the topic model and the following evalution\n* `CorpusBlogPostsFromFile.java` loads a corpus from a file.\n* `CorpusToy.java` loads a small example corpus of a few documents defined in the code.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjulian-risch%2FJCDL2018","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjulian-risch%2FJCDL2018","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjulian-risch%2FJCDL2018/lists"}