|Course Title||STAT METH TEXT ANALYSIS|
|Full Title||Statistical Methods in Text Analysis|
|Description||Statistical methods for analysis of large texts, to include Bayesian classifiers, Markov models, maximum entropy models, neural nets, and support vector machines. Data collection and annotation. Applications to annotation, relation detection, sentiment analysis, and topic modeling.|
|Prerequisite||Linguistics 571 or 572 [or Big Data Analytics 572]; and Statistics 550 or 551A.|
This section has a zero-cost course materials (ZCCM) designation and exclusively uses digital course materials that are free of charge and may have an optional low-cost print version or there are no course materials required. The ZCCM designation may change if a new faculty member is assigned or other course materials are added.