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Course : M35209F/Μ36209P - Text Analytics (MSc Data Science)
Course code : INF312
Root directory in_class_demos_2025_26
Files for the in-class demos of 2025-26.
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Introduction to the scikit-learn library. Text classification with both linear & non-linear classifiers. Learning curves. Pipelines and hyper-parameter tuning via grid or randomized search.
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899.28 KB | 2/1/26, 10:12 PM | |
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Introduction to PyTorch. Text classification with MLPs using tf-idf vectors and centroids of pretrained word2vec embeddings. Example with word2vec word embeddings with gensim.
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395.91 KB | 2/5/26, 7:35 PM | |
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Introduction to the NLTK and spaCy modules. Tokenization and N-gram Language Models (LMs). Cross-entropy and perplexity of LMs. Beam-search decoding.
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80.67 KB | 1/21/26, 6:33 PM |