Data Science for Lawyers https://validator.w3.org/feed/docs/rss2.html Constitutions as Data (I): Using Meta-Data to Track Constitution-Making Building a Dashboard in R to Investigate Convergence in E-Commerce Clauses of Free Trade Agreements Create Efficient and Easy to Manage Regexs With Nested Loops, Apply() and CSVs Constitutions as Data – Conclusion and Future Research Prediction Using Support Vector Machines Prediction Using Naive Bayes Supervised ML: Naive Bayes Classifier Text of Trade Agreements (ToTA) Semantic Analysis of Canadian Regulations Research Learning Resources The Supreme Court of Canada in 4 Graphs Accessing and Manipulating Data About Prediction Using K-Nearest Neighbour Loading WJBrennan Voting Data Introduction Unsupervised ML: Topic Models for Classification Loading and Pre-Processing Texts Introduction Visualizing Similarity Through Heatmaps Distance Measures II Distance Measures I Creating a Document-Term Matrix Preparing Metadata Introduction Exercises Dictionary Approach II: Sentiment Analysis Dictionary Approach I: Term Mapping Working with Bigrams Visualizing Word Frequency Creating a Term-document Matrix Creation of a Text Corpus and Text Pre-processing Introduction Network Measures Finding Most Citing and Cited Cases Creating a Citation List Constitutions as Data (IV) : Identical Constitutions Are a Legacy of British Colonialism in the Caribbean Constitutions as Data (III): Using Regular Expressions to Explore Gender Protections Constitutions as Data (II): Identifying the Constitutionalization of Weapons Through Word Frequency Counts Constitutions as Data: Introduction to a Blog Series on Data-Driven Comparative Constitutional Law Using Regexes to Find Court Citations Introduction Exercises Dataset Using Regexes for Information Retrieval Using Regex for Text Segmentation What is a Regex? Introduction Exercises