Catalog Description:
There has been a striking growth in text data such as web pages, news articles, e-mail messages, social media data, and scientific publications in the recent years. Developing tools for processing and utilizing this huge amount of textual information is getting increasingly important. This course will cover techniques for processing and making sense of text data written in natural (human) language. We will examine the core tasks in natural language processing, including language modeling, syntactic analysis, semantic interpretation, and discourse analysis. We will also explore how these techniques can be used in applications such as information extraction, question answering, summarization, and sentiment analysis.
Credits:
Prerequisites:
Link | Year | Semester | Course Page | Instructor | Course Schedule | Lab Schedule | PS Schedule |
---|---|---|---|---|---|---|---|
view | 2020 | Fall | Course Page | Tunga Güngör | TTT 678 Online | ||
view | 2019 | Fall | Tunga Güngör | TTT 678 BM A5 | BM A5 | BM A5 | |||
view | 2018 | Fall | Tunga Güngör | TTT 678 BM A5 | BM A5 | BM A5 | |||
view | 2017 | Fall | Tunga Güngör | TTT 678 BM A5 | BM A5 | BM A5 | |||
view | 2017 | Spring | Tunga Güngör | WWW 345 BM A5 | BM A5 | BM A5 | |||
view | 2016 | Spring | Arzucan Özgür | ThThTh 678 BM B5 |