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Skip to Content Skip to navigation Site map * Toggle High Contrast * Toggle Font size HEADER MENU 123Skip to content * Donate * Our Products * Newsletter Sign-up * News Archive * FAQ HUMAN RELATIONS AREA FILES CULTURAL INFORMATION FOR EDUCATION AND RESEARCH Search MENU Skip to content * Home * Products & Services * Resources * Cross-Cultural Research * About HRAF * Teaching Online * Help ETHNOGRAPHIC DATA SCIENCE AND EHRAF: INFERRING CULTURAL PATTERNS FROM ETHNOGRAPHIC WRITING Download slides for demo | Download Jupyter Notebook for examples | Notes for Demo materials Seed Word 1: Seed Word 2: R Simple W2V Synthetic W2V < /div> What can artificial intelligence and machine learning contribute to anthropology, the most human of disciplines? Ethnography combines elements of science and humanities, with ethnographic writing mediating exposition and science. Data science techniques such as Natural Language Processing (NLP) and statistical analysis can lead to better understanding of patterns emerging from ethnographer accounts of observations and experiences within or across societies and cultures. iKLEWS (Infrastructure for Knowledge Linkages from Ethnography of World Societies) is an NSF-funded HRAF project which seeks to use data science to create digital semantic infrastructure and associated computer services supporting research based on HRAF’s growing ethnographic database, eHRAF World Cultures. A basic goal of iKLEWS is to greatly expand the research support of eHRAF World Cultures for addressing scientific, scholarly and applied research. DEMONSTRATION AT THE AAA/CASCA ANNUAL MEETING IN TORONTO, CANADA (NOVEMBER 16-18) On Friday, November 17 from 1:30-2:30pm, there will be a demonstration at the HRAF booth in the exhibit hall at Metro Toronto Convention Centre to illustrate how the developments produced via iKLEWS can facilitate and enhance research using the eHRAF World Cultures database. The demonstration by Prof. Michael Fischer, HRAF Vice President, will showcase a web app featuring prototype tools and analysis for HRAF data including visualizations such as concept maps and 3D Principal Component Analysis (PCA) graphs. In NLP, the Word2Vec algorithm uses a neural network model trained on a large corpus of text in order to reconstruct the linguistic contexts of words. With each word in the corpus being assigned a “vector” in space, the model is able to learn word associations, detect synonyms, and suggest other related terms. PCA plots are another way to visualize the data in a 3D field. As the demonstration will show, starting with just a few concepts as keywords, these can be expanded to lists of related terms drawn from the eHRAF corpus. Networks of these terms and how these interconnect, together with relevant excerpts from ethnographic texts, can lead the researcher to further related material. Learn more about how to find HRAF at the AAA/CASCA 2023 Annual Meeting. Posted by: Fran Barone // Feature // AAA/CASCA 2023, Annual Meeting, Anthropology, Ethnography, data, data science, demonstration, ethnographic data science, iKLEWS // November 10, 2023 POST NAVIGATION ← HRAF Academic Quarterly, Vol 2023-03 Announcing HRAF Global Scholars for 2024 → ACCESS OUR DATABASES Trouble logging in? Get help here. RECENT POSTS * Announcing HRAF Global Scholars for 2024 * Ethnographic Data Science and eHRAF: inferring cultural patterns from ethnographic writing * HRAF Academic Quarterly, Vol 2023-03 * Human Relations Area Files at Yale University attending 2023 AAA/CASCA Annual Meeting HUMAN RELATIONS AREA FILES 755 Prospect Street New Haven, CT 06511-1225 Tel: 203-764-9401 or 1-800-520-4723 FAX: 203-764-9404 hraf@yale.edu Privacy Policy ACCESS EHRAF DATABASES eHRAF World Cultures* eHRAF Archaeology* * HRAF membership authentication required GET FREE TRIAL ACCESS Request free trial access to our databases: World Cultures | Archaeology FOLLOW US ARCHIVES Archives Select Month November 2023 October 2023 September 2023 August 2023 July 2023 June 2023 April 2023 March 2023 January 2023 December 2022 November 2022 October 2022 September 2022 August 2022 July 2022 June 2022 May 2022 April 2022 March 2022 January 2022 December 2021 November 2021 October 2021 September 2021 August 2021 July 2021 June 2021 May 2021 March 2021 February 2021 January 2021 December 2020 November 2020 October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 February 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 March 2019 February 2019 January 2019 December 2018 November 2018 September 2018 August 2018 July 2018 June 2018 May 2018 March 2018 February 2018 January 2018 December 2017 November 2017 August 2017 July 2017 June 2017 March 2017 February 2017 January 2017 November 2016 September 2016 July 2016 June 2016 May 2016 April 2016 March 2016 February 2016 January 2016 November 2015 October 2015 September 2015 August 2015 July 2015 June 2015 May 2015 April 2015 March 2015 February 2015 January 2015 December 2014 November 2014 October 2014 September 2014 August 2014 July 2014 June 2014 May 2014 April 2014 March 2014 February 2014 January 2014 December 2013 November 2013 Browse Archives ACCESSIBILITY CONTROLS FOOTER MENU * Home * Products & Services * Resources * Cross-Cultural Research * About HRAF * Teaching Online * Help © 2023 Human Relations Area Files Leaf Theme powered by WordPress