DATAPHYTE | Socioeconomic Questions, Answered With Data

Domaine:

natural language processing

Type de record:

company

## About We are a social impact organisation providing data access, insight and hyperlocal research for businesses, governments and development organisations. Access: repurposing public data for policy advocacy and accountability in ready-to-use formats. Insight: producing daily articles, deep dives, and reports. Research: real-time, localised data collection and analytics for businesses and development organisations using field agents and harmonised demographic maps. Resourcing the ecosystem through our Academy, AI-powered News agency and GovTech

dataphyte-africa/anfani_scrapers

# anfani_scrapers Scrapes Nigerian public-data platforms and emits CSVs shaped for `anfani_api` bul

<p>Data extraction questions.</p>

Background

Skin NTDs cause mental ill health, primarily through social stigma and dis

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The problem of audio-to-text alignment has seen significant amount of research using complete superv

Predicting Socioeconomic Status Using Big Data

Abstract Big data offers the potential to calculate timely estimates of the socioec

Making questions with tone: Polar question formation in Kinyarwanda

Kinyarwanda is a Bantu language with one phonemic (H) tone (Kimenyi 2002). This can phonetically rea

Yes/No questions with audio and laryngograph data with Adesoji Olusi ikaan174 Farming, food and yam: language and cultural practices among Ikaan speakers

This is a recording of 19 statements and corresponding questions to investigate the phonetics and ph