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Επεξεργασία Φυσικής Γλώσσας - Natural Language Processing (MSc CS & MSc ISDS)

INF210 - Ion Androutsopoulos

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Root directory slides_2025_26 The slides of 2025-26.

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	First Name	Size	Date
	nlp_slides_part00_introduction.pdf Introduction and course organization.	2.12 MB	10/1/25, 1:36 PM
	nlp_slides_part01_ngrams.pdf n-gram language models, estimating probabilities from corpora, entropy, cross-entropy, perplexity, edit distance, context-aware spelling correction, beam-search decoding.	2.94 MB	10/1/25, 1:36 PM
	nlp_slides_part02_text_classification_with_mostly_linear_models.pdf Text classification with (mostly) linear models: Representing texts as bags of words. Boolean and TF-IDF features. Feature selection and extraction using information gain and SVD. Obtaining word embeddings from PMI scores. Word and text clustering with k-means. Text classification with k nearest neighbors. Linear and logistic regression, stochastic gradient descent. Evaluating classifiers with precision, recall, F1, ROC AUC. Practical advice and diagnostics for text classification with supervised machine learning.	3.7 MB	10/8/25, 4:43 PM