Windows 10 driver development (fixed, rev.2)Atomu Hidaka
Seminar text of Windows 10 driver development for beginners. This one fix some issues for 32bit and UMDFcode signing, and no need to use "uselocaltime" option to build.
Windows 10 driver development (fixed, rev.2)Atomu Hidaka
Seminar text of Windows 10 driver development for beginners. This one fix some issues for 32bit and UMDFcode signing, and no need to use "uselocaltime" option to build.
トピックス:visual studio 2019, ビルド, プログラミング, c
C プログラミング入門 (スライド資料とプログラム例)(Visual Studio 2019 を使用)(全15回)
https://www.kkaneko.jp/pro/adp/index.html
金子邦彦研究室ホームページ
https://www.kkaneko.jp/index.html
トピックス:visual studio 2019, ビルド, プログラミング, c
C プログラミング入門 (スライド資料とプログラム例)(Visual Studio 2019 を使用)(全15回)
https://www.kkaneko.jp/pro/adp/index.html
金子邦彦研究室ホームページ
https://www.kkaneko.jp/index.html
This document discusses executing SQL queries and making plugins in KH Coder. It provides an overview of KH Coder and its capabilities for quantitative content analysis, text mining, and computational linguistics. It then demonstrates how to execute SQL queries directly in KH Coder to bypass search functions or automate processes using plugins. Sample plugin code is shown. Tables in the KH Coder MySQL database are outlined, including the structure of key tables like words and lemmas.
Example of Using R #1: Exporting the Result of Correspondence Analysiskhcoder
This document provides instructions for exporting the results of a correspondence analysis from KH Coder as an R file and CSV file. It explains how to save the correspondence analysis results as an R source file, then open R and execute the file to recreate the plot. It also describes how to export the X-Y coordinates from the plot as a CSV file that can be opened in other programs like SPSS to recreate the graph.
Quick Start Tutorial of KH Coder 2: Quantitative Content Analysis or Text Min...khcoder
This document provides a quick start tutorial for using KH Coder, a free software for quantitative content analysis and text mining of English language data. It outlines steps for configuring KH Coder for English, preparing a project using an English novel as sample text, performing preprocessing and analyzing word frequencies. It also demonstrates methods for exploring word co-occurrences, identifying distinctive words in chapters, and using coding rules to count concepts and perform cross tabulation of codes. The goal is to analyze themes and characteristics of each chapter in the novel.