{"title":"从齐普夫分布到普遍依赖性--瑞典语文本分析互动笔记本","authors":"Dimitrios Kokkinakis","doi":"10.3384/ecp205006","DOIUrl":null,"url":null,"abstract":"Notebook-based environments are powerful (web-based) interactive development resources for conducting exploratory (textual) data analysis (EDA). These environments allow the embedding of code (code snippets in ‛code cells’) which can be easily executed with the results immediately presented into the user’s window. This paper introduces some basic exploratory tools and techniques using JupyterLab notebooks, applied to Swedish using a subcorpus that address various topics related to the COVID-19 pandemic published during January-December 2021.","PeriodicalId":285622,"journal":{"name":"Linköping Electronic Conference Proceedings","volume":"53 19","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From Zipf distribution to Universal Dependencies – Interactive Notebooks for Swedish Text Analysis\",\"authors\":\"Dimitrios Kokkinakis\",\"doi\":\"10.3384/ecp205006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Notebook-based environments are powerful (web-based) interactive development resources for conducting exploratory (textual) data analysis (EDA). These environments allow the embedding of code (code snippets in ‛code cells’) which can be easily executed with the results immediately presented into the user’s window. This paper introduces some basic exploratory tools and techniques using JupyterLab notebooks, applied to Swedish using a subcorpus that address various topics related to the COVID-19 pandemic published during January-December 2021.\",\"PeriodicalId\":285622,\"journal\":{\"name\":\"Linköping Electronic Conference Proceedings\",\"volume\":\"53 19\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Linköping Electronic Conference Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3384/ecp205006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Linköping Electronic Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3384/ecp205006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
From Zipf distribution to Universal Dependencies – Interactive Notebooks for Swedish Text Analysis
Notebook-based environments are powerful (web-based) interactive development resources for conducting exploratory (textual) data analysis (EDA). These environments allow the embedding of code (code snippets in ‛code cells’) which can be easily executed with the results immediately presented into the user’s window. This paper introduces some basic exploratory tools and techniques using JupyterLab notebooks, applied to Swedish using a subcorpus that address various topics related to the COVID-19 pandemic published during January-December 2021.
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