DH 2016 Abstracts

Keyword: text mining

Automatic Emotion Detection for Quantitative Literary Studies *

Klinger, R., Suliya, S., Reiter, N.

dictionaries text mining emotion analysis

Big Data: Complex Systems and Text Analysis

Kretzschmar, W., Burkette, A., Hettel, J.

text mining complex systems big data

Concept Modeling the Advertising Chinese Modern Society

Barlow, T., Chen, J., Deng, K.

Image Processing text mining Advertising ephemera statistical method China

Language Attitudes of Twitter Users Toward New York City English

LaFave, N.

text analysis language attitudes New York City English Twitter text mining

Mining Leitmotif in James Joyce’s ‘Ulysses’

Crowley, R., Mihály Tóth, G.

text mining literary studies James Joyce Ulysses leitmotif

What Do Boy Bands Tell Us About Disasters? The Social Media Response to the Nepal Earthquake

Shepard, D., Hashimoto, T., Kuboyama, T., Shin, K.

social media text mining event detection

Wikidition: Towards A Multi-layer Network Model of Intertextuality

Mehler, A., Wagner, B., Gleim, R.

text mining Wikidition multi-layer network linkification lexiconisation