

Month: 2025-05 — Monthly work summary for OpenITI/FASDH25 focusing on key features delivered, major bugs fixed, and overall impact.
Month: 2025-05 — Monthly work summary for OpenITI/FASDH25 focusing on key features delivered, major bugs fixed, and overall impact.
April 2025 highlights for OpenITI/FASDH25: Delivered two analytics features to advance article text analysis and geospatial exploration. Feature 1 adds Python-based regex pattern counting and gazetteer-based name counting in articles (commit 5249046ed6a16a52c7c7f30c3835a1606dc1ab09). Feature 2 adds a geospatial scatter map visualization from TSV data using Plotly Express with hoverable names (commit 5cd791ec888b5365f164500ac58dfc2381f80f65). No major bugs fixed this month; focus was on building scalable, reusable analytics pipelines. Overall, these capabilities reduce manual inspection time, enable researchers to quantify patterns and names at scale, and visualize geographic distributions to inform research insights. Technologies demonstrated include Python scripting, regex, gazetteer integration, Plotly Express, and TSV data wiring; business value includes faster, reproducible analyses and richer data-driven insights.
April 2025 highlights for OpenITI/FASDH25: Delivered two analytics features to advance article text analysis and geospatial exploration. Feature 1 adds Python-based regex pattern counting and gazetteer-based name counting in articles (commit 5249046ed6a16a52c7c7f30c3835a1606dc1ab09). Feature 2 adds a geospatial scatter map visualization from TSV data using Plotly Express with hoverable names (commit 5cd791ec888b5365f164500ac58dfc2381f80f65). No major bugs fixed this month; focus was on building scalable, reusable analytics pipelines. Overall, these capabilities reduce manual inspection time, enable researchers to quantify patterns and names at scale, and visualize geographic distributions to inform research insights. Technologies demonstrated include Python scripting, regex, gazetteer integration, Plotly Express, and TSV data wiring; business value includes faster, reproducible analyses and richer data-driven insights.
March 2025 — Delivered two high-value features in OpenITI/FASDH25 with clear business impact and scalable analytics. Key features delivered: - Bachelor's Manuscript Content Addition and Annotation: Added a new manuscript text file to the Bachelor's collection; introduced Markdown annotations to structure content with chapter titles and dialogue markers. Commits: dc3fa4501610a139e7fb8387c4ff4b9b3a20e817; a74a94d199928142914083e05d3ced3379580c0b. - Text Analysis Toolkit for Articles: Headings and Place-Name Mentions: Refactored and extended text analysis utilities to extract and analyze headings, titles, and mentions of places across multiple article files; aggregates counts per directory. Commits: ef49f9588587d528a888b163641186d8d74c3e96; 83fc90316c6692050864db1a74e60c03d690cd22; 0e90e9fef820e43e0e7b9ee8c477780861e73d75; 4e794529decbb21436065c76938b2839fb46d1b0; f92dbe22dd69d6d78961f350abcb561ff2045c67. Major bugs fixed: - No critical bugs reported this month; minor fixes included ensuring robust annotation parsing and reliable aggregation across directories to support these features. Overall impact and accomplishments: - Enables researchers to access content more quickly and derive geo-political insights from article corpora; reduces manual effort for manuscript curation and content analytics; positions the project for scalable data-driven research. Technologies/skills demonstrated: - Text processing and analysis, Markdown-based content structuring, file I/O and directory traversal, data aggregation, and disciplined version control.
March 2025 — Delivered two high-value features in OpenITI/FASDH25 with clear business impact and scalable analytics. Key features delivered: - Bachelor's Manuscript Content Addition and Annotation: Added a new manuscript text file to the Bachelor's collection; introduced Markdown annotations to structure content with chapter titles and dialogue markers. Commits: dc3fa4501610a139e7fb8387c4ff4b9b3a20e817; a74a94d199928142914083e05d3ced3379580c0b. - Text Analysis Toolkit for Articles: Headings and Place-Name Mentions: Refactored and extended text analysis utilities to extract and analyze headings, titles, and mentions of places across multiple article files; aggregates counts per directory. Commits: ef49f9588587d528a888b163641186d8d74c3e96; 83fc90316c6692050864db1a74e60c03d690cd22; 0e90e9fef820e43e0e7b9ee8c477780861e73d75; 4e794529decbb21436065c76938b2839fb46d1b0; f92dbe22dd69d6d78961f350abcb561ff2045c67. Major bugs fixed: - No critical bugs reported this month; minor fixes included ensuring robust annotation parsing and reliable aggregation across directories to support these features. Overall impact and accomplishments: - Enables researchers to access content more quickly and derive geo-political insights from article corpora; reduces manual effort for manuscript curation and content analytics; positions the project for scalable data-driven research. Technologies/skills demonstrated: - Text processing and analysis, Markdown-based content structuring, file I/O and directory traversal, data aggregation, and disciplined version control.
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