{"id":21390761,"url":"https://github.com/interpause/pseudo-text","last_synced_at":"2025-10-06T22:09:47.827Z","repository":{"id":112541668,"uuid":"224142167","full_name":"Interpause/pseudo-text","owner":"Interpause","description":"My code and research while exploring NLP fake news detection under an internship.","archived":false,"fork":false,"pushed_at":"2021-01-13T14:03:33.000Z","size":620,"stargazers_count":0,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-08-20T12:37:54.209Z","etag":null,"topics":["fake-news","flair-embeddings","news-scraper","nlp","query-extraction"],"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/Interpause.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,"zenodo":null}},"created_at":"2019-11-26T08:37:25.000Z","updated_at":"2021-01-15T08:37:44.000Z","dependencies_parsed_at":"2023-06-03T21:30:42.155Z","dependency_job_id":null,"html_url":"https://github.com/Interpause/pseudo-text","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Interpause/pseudo-text","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Interpause%2Fpseudo-text","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Interpause%2Fpseudo-text/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Interpause%2Fpseudo-text/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Interpause%2Fpseudo-text/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Interpause","download_url":"https://codeload.github.com/Interpause/pseudo-text/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Interpause%2Fpseudo-text/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":272619668,"owners_count":24965416,"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","status":"online","status_checked_at":"2025-08-29T02:00:10.610Z","response_time":87,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["fake-news","flair-embeddings","news-scraper","nlp","query-extraction"],"created_at":"2024-11-22T13:19:39.345Z","updated_at":"2025-10-06T22:09:42.787Z","avatar_url":"https://github.com/Interpause.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# pseudo-text\n\nMy code and documentation while exploring NLP under an internship.\n\n## Description\n\nI was attempting a content-based approach for fake-news detection, using an algorithm designed to extract queries from a text and google search them, before using entailment to detect contradictions.\n\n- [Final Presentation Slides](https://docs.google.com/presentation/d/1sQhYRWtfti5F14P6gyEYhAKyrRIYWjMRG3lKo0jkGoE/edit?usp=sharing): my slides probably explains it better.\n- [Plan.ipynb](Plan.ipynb): original plan, couldn't finish it completely.\n- [research.ipynb](research.ipynb): some of what I read up on.\n\n## Notable notebooks\n\n- [how_to_query_a_database_EX_edition.ipynb](how_to_query_a_database_EX_edition.ipynb): A collation of many methods of embedding and similarity measurement during experimenting.\n- [The_Pipe.ipynb](The_Pipe.ipynb): Completed [SpaCy pipeline adapter](https://spacy.io/usage/processing-pipelines) for [YangNLP's BERTSumEXT model](https://github.com/nlpyang/PreSumm), demo of how query extractor works\n- [true_news_scraper.ipynb](true_news_scraper.ipynb): Code utilizing [newspaper3k](https://newspaper.readthedocs.io/en/latest/) to scrape from multiple news sources in parallel\n\n## Other notebooks\n\n- [ALBERT_for_SNLI.ipynb](ALBERT_for_SNLI.ipynb): Code for training [Transformers library ALBERT](https://huggingface.co/transformers/) on [SNLI dataset](https://nlp.stanford.edu/projects/snli/)\n- [BERTsum.ipynb](BERTsum.ipynb): Experimental attempt at essentially a VAE using transformers. It didn't work very well.\n- [LIAR_dataset_classifying_using_svm.ipynb](LIAR_dataset_classifying_using_svm.ipynb): Classifying the [LIAR dataset](https://www.aclweb.org/anthology/P17-2067/) using SVM.\n- [Query_extraction_and_BERTSumEXT.ipynb](Query_extraction_and_BERTSumEXT.ipynb): Experimenting with using them\n\n## Taken from presentation slides\n\n![](img/overview.jpg)\n\n![](img/extractor.jpg)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finterpause%2Fpseudo-text","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Finterpause%2Fpseudo-text","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Finterpause%2Fpseudo-text/lists"}