Gerhard Heyer
Biographic Data
| ID | 5889599 |
|---|---|
| NAME | Gerhard Heyer |
| GIVEN NAMES | Gerhard |
| FAMILY NAME | Heyer |
| SIGNATURE | HEYER G |
| AFFILIATIONS | Leipzig University |
| ORCID | 0000-0002-0442-392X |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 65 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 1985 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 1 |
Applying LDA Topic Modeling in Communication Research
Latent Dirichlet allocation (LDA) topic models are increasingly being used in communication research. Yet, questions regarding reliability and validity of the approach have received little attention thus far. In applying LDA to textual data, researchers need to tackle at least four major challenges that affect these criteria: (a) appropriate pre-processing of the text collection; (b) adequate selection of model parameters, including the number of…
Historical Relevance Feedback Detection by Text Re-use Networks
Text re-use has been in the humanist's interest for centuries. Collecting parallel texts implies giving a certain information, e.g. a moral statement or report on wars and conflicts, a kind of witness. The more independent parallel texts are collected, the more feasible the information is. The contribution reported here is on automatic detection of text re-use and the usage of a text re-use network to derive a Cultural Heritage Aware PageRank tec…
Theorie und Praxis des Lexikons
Semantics and Knowledge Representation in the Analysis of Generic Descriptions
Semantics and Knowledge Representation in the Analysis of Generic Descriptions GERHARD HEYER GERHARD HEYER Olivetti Research at TA TRIUMPH-ADLER AG,NÜmberg Search for other works by this author on: Oxford Academic Google Scholar Journal of Semantics, Volume 7, Issue 1, 1990, Pages 93–110, https://doi.org/10.1093/jos/7.1.93 Published: 01 January 1990
Wissensarten und ihre Darstellung
Generic Descriptions, Default Reasoning, and Typicality
Applying LDA Topic Modeling in Communication Research
Latent Dirichlet allocation (LDA) topic models are increasingly being used in communication research. Yet, questions regarding reliability and validity of the approach have received little attention thus far. In applying LDA to textual data, researchers need to tackle at least four major challenges that affect these criteria: (a) appropriate pre-processing of the text collection; (b) adequate selection of model parameters, including the number of…
Generic Descriptions, Default Reasoning, and Typicality
Wissensarten und ihre Darstellung
Semantics and Knowledge Representation in the Analysis of Generic Descriptions
Semantics and Knowledge Representation in the Analysis of Generic Descriptions GERHARD HEYER GERHARD HEYER Olivetti Research at TA TRIUMPH-ADLER AG,NÜmberg Search for other works by this author on: Oxford Academic Google Scholar Journal of Semantics, Volume 7, Issue 1, 1990, Pages 93–110, https://doi.org/10.1093/jos/7.1.93 Published: 01 January 1990
Theorie und Praxis des Lexikons
Historical Relevance Feedback Detection by Text Re-use Networks
Text re-use has been in the humanist's interest for centuries. Collecting parallel texts implies giving a certain information, e.g. a moral statement or report on wars and conflicts, a kind of witness. The more independent parallel texts are collected, the more feasible the information is. The contribution reported here is on automatic detection of text re-use and the usage of a text re-use network to derive a Cultural Heritage Aware PageRank tec…
Applying LDA Topic Modeling in Communication Research
Latent Dirichlet allocation (LDA) topic models are increasingly being used in communication research. Yet, questions regarding reliability and validity of the approach have received little attention thus far. In applying LDA to textual data, researchers need to tackle at least four major challenges that affect these criteria: (a) appropriate pre-processing of the text collection; (b) adequate selection of model parameters, including the number of…
Computer Science (4 works) · Philosophy (4 works) · Artificial Intelligence (2 works) · Information retrieval (2 works) · Law (2 works) · Linguistic research and analysis (2 works) · Natural language processing (2 works) · Political science (2 works) · Programming language (2 works) · Semantic Web and Ontologies (2 works)