auremoser/hiv-30_zoom

[project] circle pack zoom visualization of Daily Nation (Kenya) articles about HIV ## HIV-30 Zoom Visualization [project] 30 years of HIV sentiment analysis visualization with Chambua ### Overview Internews-Kenya's retrospective on HIV in East African media considered equally the news content as well as the language associated with that coverage. While our approach to this project studied the general tag trends as seen in the "Words Through Time" section, we also considered the proper-noun taxonomy associated with 30 years of media coverage on HIV. The motivation for this approach was to track the conversation according to the associated persons, locations (international and domestic), and organizations-of-interest who were associated with the conversation around HIV as it grew over time. To do this, Internews pulled and processed articles from the Daily Nation, a Kenyan publication with 30 years of reporting history on the development of the AIDS virus in East Africa. We then extracted people, places, and organizations mentioned therein, and clustered these in a visualization. Read below for descriptions of our methodology and data visualization decisions. ###Methodology Analyzing the articles involved a multi-step process roughly divided into data collection, data processing, and data visualization workflows. #### Data Collection Journalists at Internews Kenya tirelessly scoured the Daily Nation archives online and off to scan, caption, process in Overview and export articles about HIV and AIDS over the course of several weeks. They then exported these files with default names as .docx files and passed them to developers on the team to handle the post-processing. In tandem, the team developers brainstormed ways to visualize the vocabulary from these articles. * Brainstorming Notes #### Data Processing Data processing to extract proper-noun entities was designed to used Chambua, an Ushahidi open-source project that curls text files to extract people, place, and organization terms and output a json object with these entities. The projec …