Subjectivity Mining

2019-2020
Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

Understanding subjectivity in text by analyzing opinions, sentiment,
modality, speculation, etc. Annotating layers of subjectivity in tekst;
Developing and using subjectivity lexicons; Design a research
environment where NLP techniques are used to solve a subjectivity mining
subtask (such as sentiment analysis, stance detection, hate speech
detection, etc.). Interprete and analyze results of the subjectivity
mining
process.

Inhoud vak

Subjectivity is one of the key elements of natural language. Every
communicative act is subjective to some degree. Subjectivity starts with
the intentions of the producer of the message and affects its associated
functions and syntactic structures, not to mention the choice of
vocabulary and associated connotations. This course combines theoretical
linguistic notions used in techniques such as sentiment analysis and
opinion mining with hands-on work on real
language data. Moving between theory, discussions, practical
data annotation and tools (e.g. sentiment analysis, opinion mining) you
explore some of the following linguistic
phenomena:
modality, sentiment, emotions, opinions and stance.

Onderwijsvorm

lectures (2 hours/2 times per week)

Toetsvorm

Weekly assignments and course paper

Literatuur

to be announced

Doelgroep

Students of the Research Master's Humanities, in particular Linguistics
(Human Language Technology) and master-students of Artificial
Intelligence and Computer science.

Aanbevolen voorkennis

Basic Linguistic knowledge and programming skills (Python)

Algemene informatie

Vakcode L_AAMPLIN018
Studiepunten 6 EC
Periode P1
Vakniveau 500
Onderwijstaal Engels
Faculteit Faculteit der Geesteswetenschappen
Vakcoördinator dr. E. Maks
Examinator dr. E. Maks
Docenten dr. E. Maks

Praktische informatie

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