Zur Verknüpfung manueller und automatischer Inhaltsanalyse durch maschinelles Lernen
Bibliographic Data
| ID | 23239052 |
|---|---|
| Authors | Michael Scharkow (0000-0003-2293-7171, corresponding author) |
| Year | 2011 |
| Volume | 59 |
| Issue | 4 |
| Pages | 545-562 |
| Publication date | 2011-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Medien & Kommunikationswissenschaft (JOURNAL) |
| Journal identifiers | ISSN: 1615-634X |
| Publisher | Nomos Verlag (PUBLISHER) |
| DOI | 10.5771/1615-634x-2011-4-545 |
| OpenAlex | W2318552703 |
| Language | DE |
| Citations received | 4 |
| References cited | 9 |
Medien & Kommunikationswissenschaft provides a forum for discussion of media and communications related issues as well as for analyses of current media developments from various perspectives that are directed to all kinds of media. The journal reflects the latest trends in research and public discussion of media. Medien & Kommunikationswissenschaft primarily addresses scholars, journalists, media organisations, the press, radio and tv broadcaster, film, tv, and video production companies, organisations, and teachers. Website: www.m-und-k.nomos.de
Media studies · Political science · Sociology · Linguistic Education and Pedagogy · Linguistic research and analysis
Driving discussion
How news media (de-)legitimize national and international climate politics – A content analysis of newspaper coverage in five countries
Ökonomisierung der sozialwissenschaftlichen Bildung? Anwendung eines konventionentheoretischen Diktionärs zur massentextanalytischen Untersuchung einer bildungspolitischen Debatte
Methodologie und Methoden der Kommunikationswissenschaft
Content analysis
The general inquirer
Ensuring the Data-Rich Future of the Social Sciences
Machine learning in automated text categorization
Opinion Mining and Sentiment Analysis
Computer-Assisted Topic Classification for Mixed-Methods Social Science Research
The Content Analysis of Media Frames
Treating Words as Data with Error
Reliability in Content Analysis
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,57 |
| Citation span | 2019 - 2025 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |