

May 2025 performance summary for OpenITI/FASDH25 focused on delivering analytics features, improving data quality, and enabling visual exploration of article data.
May 2025 performance summary for OpenITI/FASDH25 focused on delivering analytics features, improving data quality, and enabling visual exploration of article data.
April 2025: Delivered two core features for OpenITI/FASDH25: Gazetteer-based article analysis and a geospatial visualization module, establishing end-to-end data processing from gazetteer inputs to interactive maps. These efforts enhance research on place-name patterns and geographic storytelling, enabling researchers to quantify naming patterns and visualize spatial distributions.
April 2025: Delivered two core features for OpenITI/FASDH25: Gazetteer-based article analysis and a geospatial visualization module, establishing end-to-end data processing from gazetteer inputs to interactive maps. These efforts enhance research on place-name patterns and geographic storytelling, enabling researchers to quantify naming patterns and visualize spatial distributions.
OpenITI/FASDH25 — March 2025 monthly wrap: Delivered feature-rich Urdu content integration and page-level enrichments, released a Python-based text analytics toolkit, and completed repository hygiene improvements, positioning the project for improved content curation, accessibility, and data-driven insights. Highlights include a consolidated Urdu poetry corpus with metadata, enhanced page annotations for pages 103-203, and a Python toolkit enabling heading extraction, word-count in headings, and keyword/place-name analytics across documents, along with cleanup to reduce test artifacts and fix naming inconsistencies.
OpenITI/FASDH25 — March 2025 monthly wrap: Delivered feature-rich Urdu content integration and page-level enrichments, released a Python-based text analytics toolkit, and completed repository hygiene improvements, positioning the project for improved content curation, accessibility, and data-driven insights. Highlights include a consolidated Urdu poetry corpus with metadata, enhanced page annotations for pages 103-203, and a Python toolkit enabling heading extraction, word-count in headings, and keyword/place-name analytics across documents, along with cleanup to reduce test artifacts and fix naming inconsistencies.
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