Topics: sentiment analysis, affective meaning, connotational aspects, sentiment lexicons, naive bayes baseline algorithm, mutual information, pointwise mutual information, computational semantics, likelihood, Scherer’s typology, emotion classification, opinion mining, sentiment mining, subjectivity analysis, manually-built sentiment lexicons, semi-supervised methods, SentiWordnet, General Enquirer, earning…

# Category: lectures

## Lecture: Semantic Role Labeling

## Lecture: Semantics and Computational Semantics

## Course Start: Semantic Analysis in Language Technology

Spring 2016 Semantic Analysis in Language Technology at Uppsala University (Sweden) http://stp.lingfil.uu.se/~santinim/sais/2016/sais_2016.htm Topics: Semantics and Computational Semantics Semantic Role Labelling/Predicate-Argument Structure Sentiment Analysis Word Sense Disambiguation Vector Semantics Information Extraction (I & II) Question Answering (I & II) Ontologies and…

## Lecture 9: Machine Learning in Practice (2)

## Lecture 8: Machine Learning in Practice (I)

Topics: evaluation, t-test, cost-sensitive measures, occam’s razor, k-statistic, lift charts, ROC curves, recall-precision curves, loss function, counting the cost, weka Lecture 8: Machine Learning in Practice (1) from Marina Santini

## Lecture 5: Interval Estimation (ML4LT)

Topics: inferential statistics, statistical inference, language technology, interval estimation, confidence interval, standard error, confidence level, z critical value, confidence interval for proportion, confidence interval for the mean, multiplier, Lecture 5: Interval Estimation from Marina Santini

## Lecture 4: Decision Trees (Part 2) (ML4LT)

Topics: attribute selection, constructing decision trees, decision trees, divide and conquer, entropy, gain ratio, information gain, machine leaning, pruning, rules, suprisal Lecture 4 Decision Trees (2): Entropy, Information Gain, Gain Ratio from Marina Santini