{"id":3138,"date":"2025-01-29T13:45:28","date_gmt":"2025-01-29T17:45:28","guid":{"rendered":"https:\/\/ccdhhn.ca\/?post_type=tribe_events&p=3138"},"modified":"2025-01-29T13:45:30","modified_gmt":"2025-01-29T17:45:30","slug":"nlp-llms-and-network-science-apps-for-text-and-media-analysis-and-creativity","status":"publish","type":"tribe_events","link":"https:\/\/ccdhhn.ca\/fr\/workshop\/nlp-llms-and-network-science-apps-for-text-and-media-analysis-and-creativity\/","title":{"rendered":"NLP, LLMs, and Network Science Apps for Text and Media Analysis and Creativity"},"content":{"rendered":"\n
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Event Language<\/h3>\n\tEnglish<\/div>\n\n\n
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\n\t\t\n\t\t\tjuin 2, 2025\t\t<\/span>\n\n\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t – \t\t\t\t<\/span>\n\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\tjuin 6, 2025\t\t\t\t<\/span>\n\n\t\t\t\t\n\t\t\t\n\t\t\t\t\t\t<\/p>\n<\/div>\n\n\n

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Format <\/h3>\n\tin person\/face-\u00e0-face<\/div>\n\n\n
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Cat\u00e9gorie d\u2019\u00c9v\u00e8nement:<\/dt>
10-20 hour workshop<\/a><\/dd><\/div>\n\n\n\n

Led by: Chris T\u0103n\u0103sescu<\/p>\n\n\n\n

The course offers an effective hands-on intro to natural language processing (NLP), text and media analysis, and text and\/or media corpus network visualization and analysis. It will harness the power and amplitude of large language models (LLMs) alongside other computing resources in analyzing both single\/discrete datums and big data, be they text or media or both. The skills, affordances, methods, and concepts will be paced and assembled into a pipeline starting from locating, collecting\/scraping, and (pre)processing relevant datasets, continuing by deploying specialized libraries and developing algorithms for multi-feature data analysis, and culminating with fine-grained holistic networked assemblages modeling and scrutinizing the datasets in depth and comparatively across corpora and media.<\/p>\n\n\n\n

We will be doing coding in Python and learning how to use (and compare) (sub)word, text, and media modeling open-source LLMs\/frameworks such as GPT (2 and later), (M)BERT, GPT-NeoX, T5, (Meta-)Llama, OLMo, and a host of others in concurrence with a wide-range of relevant libraries including Scikit-learn, NLTK, FastText, Stanza, and SpaCy (displaCy), involving embeddings with text classifiers and\/or image\/video\/audio vectorization, e.g.., Deep Learning architectures, CLIP, MediaPipe, TensorFlow & Keras, Pytorch, LibROSA, etc. In the context, we will also learn how to train or fine-tune our own LLMs.<\/p>\n\n\n\n

After using BeautifulSoup, Selenium, and pytesseract (Python-tesseract) to automatically collect and (if needed) OCR our data, the subsequent computational analyses will be translated to networks ranging from plain (single-layer) graphs to multiplexes to most general multilayer networks to be visualized and\/or analyzed by means of NetworkX or, in the more specific or complex cases, in-house\/indie algorithms. The translation to networks will also involve correlations between various forms of vectorization applied to text (and\/as inter)media as coexistent in or combined into modeling the data.<\/p>\n\n\n\n

On the fifth day (Friday, June 6th), everybody will have the opportunity to participate in the #GraphPoem event, an intermedia social computing and data-commoning performance drawing on the algorithms, methods, and programming presented or developed in class.<\/p>\n\n\n\n

The knowledge and skills acquired\u2014alongside our in-class applications\u2014will be useful in education, research, and analytical-creative work involving NLP, automated text and (mono and multilingual) corpus analysis, network science (or graph theory) applications, inter\/trans-disciplinary text (and) media studies, computational literary studies\/analysis\/criticism, computational linguistics, multimodal and intermedia(lity) studies and creativity, HCI creative writing and experimental\/intersemiotic\/literary translation, digital editions, digital poetry\/e-lit\/digital art, social (media\/network) analysis, complexity studies in\/and social science, and applications in the philosophy of mathematics.<\/p>\n\n\n\n

This is a hands-on course with some lecture components.<\/em><\/p>\n\n\n

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Digital Humanities Summer Institute (DHSI)<\/a><\/h3>\n\t<\/div>\n\t\t\t\t

View Organisateur Website<\/a><\/p>\n\t\t<\/div>\n\n\n

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Universit\u00e9 de Montr\u00e9al<\/a><\/h3>\n\t<\/div>\n\n\t\n\t\t\t\t\t\t
\n\t\t\t\t\n\n3150 Rue Jean Brillant<\/span>\n\t\n\t\t
\n\t\tMontreal<\/span>,<\/span>\n\n\tQu\u00e9bec<\/abbr>\n\n\tH3T 1N7<\/span>\n\n\tCanada<\/span>\n\n<\/span>\n\n\t\t\t\t\t\t\t\t\t+ Google Map<\/a>\t\t\t\t\t\t\t<\/address>\n\t\t\n\t\t\n\t\t\t\n\t<\/div>\n\t\n
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