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Haoliang Jiang's Projects

ids705 icon ids705

Course website for IDS705: Principles of Machine Learning

ldatopicmodeling icon ldatopicmodeling

Implement the latent Dirichlet allocation (LDA) model to generate a corpus from a given set of parameters. Build a function lda_gen() that takes four arguments: 1. vocabulary - list (of length V ) of strings 2. alpha - topic distribution parameter vector, numpy array of size (k,) 3. beta - topic-word matrix, numpy array of size (k, V ) 4. xi - Poisson parameter (scalar) for document size distribution and returns: 1. words - list of words (strings) in a document

no_code_low_code_nlp icon no_code_low_code_nlp

Scrape all of Hemingway’s writing from this website (or some other author): http://gutenberg.ca/index.html (Can be manual or with Python) Create Data Visualization summarizing what you learned. Create one-page in report, in Github using Markdown summarizing the point of the data visualization (give firm recommendation/conclusion)

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