{"id":23636931,"url":"https://github.com/kizman-23/naural_language","last_synced_at":"2026-06-22T18:32:09.138Z","repository":{"id":257993420,"uuid":"865099672","full_name":"KizMan-23/naural_language","owner":"KizMan-23","description":"Introductory parts for NLP tasks","archived":false,"fork":false,"pushed_at":"2024-12-15T01:22:47.000Z","size":1141,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-11-05T04:17:44.694Z","etag":null,"topics":["entity-ruler","nltk","spacy-nlp","vectorizers"],"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/KizMan-23.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,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2024-09-30T01:04:33.000Z","updated_at":"2024-12-15T01:22:51.000Z","dependencies_parsed_at":"2024-11-04T23:24:31.163Z","dependency_job_id":"4faaa8c6-2b47-4b56-89a3-421602e46f5e","html_url":"https://github.com/KizMan-23/naural_language","commit_stats":null,"previous_names":["kizman-23/naural_language"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/KizMan-23/naural_language","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KizMan-23%2Fnaural_language","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KizMan-23%2Fnaural_language/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KizMan-23%2Fnaural_language/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KizMan-23%2Fnaural_language/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/KizMan-23","download_url":"https://codeload.github.com/KizMan-23/naural_language/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KizMan-23%2Fnaural_language/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34661703,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-22T02:00:06.391Z","response_time":106,"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":["entity-ruler","nltk","spacy-nlp","vectorizers"],"created_at":"2024-12-28T06:15:28.197Z","updated_at":"2026-06-22T18:32:09.117Z","avatar_url":"https://github.com/KizMan-23.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Natural Language Processing (NLP) is a machine learning focused on analyzing, understanding and generating texts.\nThe works of NLP is a very suffiscated task but can have simple roots in certain frameworks designed to minimize the works necessary to get a NLP machine learning tasks up and running.\nNotable python library like SpaCy, NLTK and others have amazing functionalities to training,performing and running simple NLP taks.\n\n[NLTK Processing Tools](lang_processing_tools.ipynb) is a quick project that runs through the basic provisions of the python library NLTK, for working and processing texts. This library just as others\nprovide tokenizations, stemmer and  lemmatization capabilities.\n\n![nltk_tags](https://github.com/user-attachments/assets/682efe1b-a22f-4b18-b887-7780af975fe5)\n\nJust like NLTK [SpaCy NLP](spacy_nlp.ipynb) is all about SpaCy Library and the easiness of using its functionarities in processing and training NLP models. SpaCy is a very nice library that provides a ton \nof functionalities, enabling utmost flexibity to counter the complexities that come from working with text datas. SpaCy functions like Match, Entity_Ruler, Pipelines, Custom Components, Regex patterning etc\nare little about the features that make SpaCy a great library for NLP tasks\n\n![spacy ner](https://github.com/user-attachments/assets/634c0764-d0e0-4e67-979d-081ee8c4b7dc)\n\n[The Basic NLP](basic_nlp.ipynb) project outlines the common methods and processes of training an NLP model based on texts and reviews about a book while using classical scikit-learn regresson technique.\n\n![basic_nlp](https://github.com/user-attachments/assets/1af71eb8-40c3-49aa-a487-6adac8f08797)\n\n[SpaCy Stock Analysis](spacy_stock_analysis.ipynb) is a project that utilizes the full capabilities of SpaCy functions to solve an Investor problem; Identifying Stocks, Companies and Indexes from News Article.\nThe Project showcases the possibilities and easiness that lie with SpaCy functions in applying them to business problems\n\n![spacy on stock](https://github.com/user-attachments/assets/b2fb04f6-9fad-4132-8627-228ae8d3c05b)\n\n![spacy on stock 2](https://github.com/user-attachments/assets/e1bd6817-0cea-48e0-8937-88ac4b7c2f9e)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkizman-23%2Fnaural_language","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkizman-23%2Fnaural_language","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkizman-23%2Fnaural_language/lists"}