NLP for Social Media
Kursbeschreibung
Studiengang | Modulkürzel | Leistungs- bewertung |
---|---|---|
BA-2010[100%|75%] | CS-CL | 6 LP |
BA-2010[50%] | BS-CL | 6 LP |
BA-2010[25%] | BS-AC | 4 LP |
BA-2010 | AS-CL | 8 LP |
Master | SS-CL, SS-FAL, SS-TAC | 8 LP |
Dozenten/-innen | Katja Markert |
Veranstaltungsart | Proseminar/Hauptseminar |
Erster Termin | 25.04.2018 |
Zeit und Ort | Mi, 11:15–12:45, INF 329 / SR 26 (SR) |
Ab dem 16.05: | Mi, 11:15–12:45, INF 306 SR 21 |
Am 20.06: | Mi, 11:15–12:45, INF 329 / SR 26 (SR) |
Commitment-Frist | tbd. |
Teilnahmevoraussetzungen
Fortgeschrittene Bachelor- sowie alle Masterstudierenden
Leistungsnachweis
(i) Aktive Teilnahme: Lektüre, Diskussion, Fragenbeantwortung etc
(ii) Referat
(iii) Je nach Wunsch und Auslastung Hausarbeit oder
Projekt. Evtl. Zweitreferat.
Inhalt
Processing social media text provides new challenges for NLP,
including linguistic challenges (informality, lack of grammaticality
etc), noise, redundancies, influence of non-linguistic components such
as network structures as well as ethical and privacy concerns. It also
gives the opportunity of novel applications such as geolocation,
social media opinion mining, forecasting and disaster response.
This seminar will look at several of these topics, choosing (dependent
also on student interests) from:
--- data collection, text normalization, tagging and parsing for social media
--- language and dialect identification, language variation
--- geo-location and user modelling
--- dialogue structure and conversational behaviour in social media
--- entity linking and disambiguation
--- sentiment analysis
--- update summarization
--- prediction applications such as voting or financial forecasts
--- ethical issues
Kursübersicht
Seminarplan
Datum | Sitzung | Materialien |
Literatur
Meist frei erhältlich und wird zu Semesterbeginn bekanntgegeben.