{"exhibit":{"id":4,"title":"Case Study 3: Topic Modeling Shellshock Across 4 Corpora With LDA Topic Explorer Visualizations","description":"<p><span>I turn to HathiTrust and its analytics center to model how its tools can be used to study shellshock across 4 corpora: a 100-volume corpus of medical periodicals, a 189-volume corpus of non-medical peridicals, across a small-scale (8-volume) corpus of war poetry, which I compare with another small-scale (7-volume) corpus of novels by Mary Borden. <\/span><\/p>\n<p><span>After experimenting with Bookworm in my prior case study, I delved into HathiTrust\u2019s Analytics Research Center, where I used HathiTrust\u2019s freely available InPho Topic Explorer, along with <a href=\"https:\/\/inpho.github.io\/topic-explorer\">documentation<\/a> for its use. <\/span><\/p>\n<p><span>This tool draws upon a topic modeling technique known as Latent Dirichlet Allocation, which allows a researcher to extract and cluster topics from a workset or corpus.<\/span><\/p>\n<p><span>Across this case study, I model some potential means of large-scale reading for shellshock across popular culture and war poetry.<\/span><\/p>","credits":"","featured":0,"public":1,"theme":"","theme_options":null,"slug":"casestudythree","added":"2024-02-06 02:53:18","modified":"2024-04-03 04:42:03","owner_id":1,"use_summary_page":1,"cover_image_file_id":56},"item":{"id":9,"item_type_id":18,"collection_id":1,"featured":0,"public":1,"added":"2023-12-12 05:48:32","modified":"2023-12-12 05:48:32","owner_id":1}}