Info
From text to political positions : text analysis across disciplines / / edited by Bertie Kaal, Isa Maks, Annemarie van Elfrinkhof
| From text to political positions : text analysis across disciplines / / edited by Bertie Kaal, Isa Maks, Annemarie van Elfrinkhof |
| Pubbl/distr/stampa | Amsterdam, The Netherlands ; ; Philadelphia, [Pennsylvania] : , : John Benjamins Publishing Company, , 2014 |
| Descrizione fisica | 1 online resource (345 p.) |
| Disciplina | 401/.41 |
| Collana | Discourse Approaches to Politics, Society and Culture |
| Soggetto topico |
Communication in politics
Mass media - Political aspects Public communication - Political aspects Discourse analysis - Political aspects |
| Soggetto genere / forma | Electronic books. |
| ISBN | 90-272-7034-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
From Text to Political Positions; Editorial page; Title page; LCC data; Table of contents; Foreword; Reference; Acknowledgements; 1. Positions of parties and political cleavages between parties in texts; Political language and content analysis; Meta-language about political language; Three tools for analysing political texts; Does a concept occur? First-order agenda setting and entity recognition; The ontological problem: (named) entity recognition; Co-occurrence of concepts? Conditional probabilities and associative framing; Semantic network analysis; Manual coding using the NET-method
Automation using semantic rules on top of an ontology, POS-tags, syntax dependency treesSummary; References; Part I. Computational methods for political text analysis; Introduction; 2. Comparing the position of Canadian political parties using French and English manifestos; Word-based parallel content analysis; Methodology; Canadian expert surveys; Wordscores; Wordfish; Conclusion; References; Appendix; 3. Leveraging textual sentiment analysis with social network modeling; 1. Introduction; 2. Data; 2.1 Election data; 2.2 Sentiment annotations; 3. Related work 4. Overview of the classification framework4.1 Shallow document classification; 4.2 Deep entity-level sentiment scoring; 4.3 Social network modeling; 4.4 Overview of algorithms; 5. Experiments; 5.1 Experimental conditions; 5.2 Evaluation measures; 5.3 Discussion; 5.4 Significance of results; 5.5 Future work; 6. Conclusion; References; 4. Issue framing and language use in the Swedish blogosphere; Introduction; The case of Sweden: Issue framing and the 'outsider' concept; Methodological considerations; Random indexing Language use by the Social Democratic and the Conservative Moderate Party in relation to 'outsiders'The Conservative Moderate Party; The Social Democratic Party; From quality to quantity in party related documents; Random Indexing of words related to 'outsider' in the Swedish blogosphere 2008-2010; Summary and conclusions; References; Appendix; 5. Text to ideology or text to party status?; 1. Introduction; 2. Background: The Canadian party system and Parliament; 3. First set of experiments: Classifying by party; 3.1 Data; 3.2 Method; 3.3 Results; 3.4 Discussion 4. Second set of experiments: Classifying by party status4.1 Data; 4.2 Method and results; 4.3 Discussion; 5. Classification based on the emotional content of speeches; 5.1 Method and data; 5.2 Results; 6. Third set of experiments: European Parliamentary data; 6.1 Data; 6.2 Method; 6.3 Results; 6.4 Discussion; 7. Conclusion; References; 6. Sentiment analysis in parliamentary proceedings; 1. Introduction; 2. Background; 3. Data; 4. Assessing subjectivity and orientation; 4.1 Classification level; 4.2 Gold standard corpus; 4.3 Automatically determining subjectivity 4.4 Automatically determining semantic orientation |
| Record Nr. | UNINA-9910465629503321 |
| Amsterdam, The Netherlands ; ; Philadelphia, [Pennsylvania] : , : John Benjamins Publishing Company, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
From text to political positions : text analysis across disciplines / / edited by Bertie Kaal, Isa Maks, Annemarie van Elfrinkhof
| From text to political positions : text analysis across disciplines / / edited by Bertie Kaal, Isa Maks, Annemarie van Elfrinkhof |
| Pubbl/distr/stampa | Amsterdam, The Netherlands ; ; Philadelphia, [Pennsylvania] : , : John Benjamins Publishing Company, , 2014 |
| Descrizione fisica | 1 online resource (345 p.) |
| Disciplina | 401/.41 |
| Collana | Discourse Approaches to Politics, Society and Culture |
| Soggetto topico |
Communication in politics
Mass media - Political aspects Public communication - Political aspects Discourse analysis - Political aspects |
| ISBN | 90-272-7034-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
From Text to Political Positions; Editorial page; Title page; LCC data; Table of contents; Foreword; Reference; Acknowledgements; 1. Positions of parties and political cleavages between parties in texts; Political language and content analysis; Meta-language about political language; Three tools for analysing political texts; Does a concept occur? First-order agenda setting and entity recognition; The ontological problem: (named) entity recognition; Co-occurrence of concepts? Conditional probabilities and associative framing; Semantic network analysis; Manual coding using the NET-method
Automation using semantic rules on top of an ontology, POS-tags, syntax dependency treesSummary; References; Part I. Computational methods for political text analysis; Introduction; 2. Comparing the position of Canadian political parties using French and English manifestos; Word-based parallel content analysis; Methodology; Canadian expert surveys; Wordscores; Wordfish; Conclusion; References; Appendix; 3. Leveraging textual sentiment analysis with social network modeling; 1. Introduction; 2. Data; 2.1 Election data; 2.2 Sentiment annotations; 3. Related work 4. Overview of the classification framework4.1 Shallow document classification; 4.2 Deep entity-level sentiment scoring; 4.3 Social network modeling; 4.4 Overview of algorithms; 5. Experiments; 5.1 Experimental conditions; 5.2 Evaluation measures; 5.3 Discussion; 5.4 Significance of results; 5.5 Future work; 6. Conclusion; References; 4. Issue framing and language use in the Swedish blogosphere; Introduction; The case of Sweden: Issue framing and the 'outsider' concept; Methodological considerations; Random indexing Language use by the Social Democratic and the Conservative Moderate Party in relation to 'outsiders'The Conservative Moderate Party; The Social Democratic Party; From quality to quantity in party related documents; Random Indexing of words related to 'outsider' in the Swedish blogosphere 2008-2010; Summary and conclusions; References; Appendix; 5. Text to ideology or text to party status?; 1. Introduction; 2. Background: The Canadian party system and Parliament; 3. First set of experiments: Classifying by party; 3.1 Data; 3.2 Method; 3.3 Results; 3.4 Discussion 4. Second set of experiments: Classifying by party status4.1 Data; 4.2 Method and results; 4.3 Discussion; 5. Classification based on the emotional content of speeches; 5.1 Method and data; 5.2 Results; 6. Third set of experiments: European Parliamentary data; 6.1 Data; 6.2 Method; 6.3 Results; 6.4 Discussion; 7. Conclusion; References; 6. Sentiment analysis in parliamentary proceedings; 1. Introduction; 2. Background; 3. Data; 4. Assessing subjectivity and orientation; 4.1 Classification level; 4.2 Gold standard corpus; 4.3 Automatically determining subjectivity 4.4 Automatically determining semantic orientation |
| Record Nr. | UNINA-9910792157103321 |
| Amsterdam, The Netherlands ; ; Philadelphia, [Pennsylvania] : , : John Benjamins Publishing Company, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
From text to political positions : text analysis across disciplines / / edited by Bertie Kaal, Isa Maks, Annemarie van Elfrinkhof
| From text to political positions : text analysis across disciplines / / edited by Bertie Kaal, Isa Maks, Annemarie van Elfrinkhof |
| Pubbl/distr/stampa | Amsterdam, The Netherlands ; ; Philadelphia, [Pennsylvania] : , : John Benjamins Publishing Company, , 2014 |
| Descrizione fisica | 1 online resource (345 p.) |
| Disciplina | 401/.41 |
| Collana | Discourse Approaches to Politics, Society and Culture |
| Soggetto topico |
Communication in politics
Mass media - Political aspects Public communication - Political aspects Discourse analysis - Political aspects |
| ISBN | 90-272-7034-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
From Text to Political Positions; Editorial page; Title page; LCC data; Table of contents; Foreword; Reference; Acknowledgements; 1. Positions of parties and political cleavages between parties in texts; Political language and content analysis; Meta-language about political language; Three tools for analysing political texts; Does a concept occur? First-order agenda setting and entity recognition; The ontological problem: (named) entity recognition; Co-occurrence of concepts? Conditional probabilities and associative framing; Semantic network analysis; Manual coding using the NET-method
Automation using semantic rules on top of an ontology, POS-tags, syntax dependency treesSummary; References; Part I. Computational methods for political text analysis; Introduction; 2. Comparing the position of Canadian political parties using French and English manifestos; Word-based parallel content analysis; Methodology; Canadian expert surveys; Wordscores; Wordfish; Conclusion; References; Appendix; 3. Leveraging textual sentiment analysis with social network modeling; 1. Introduction; 2. Data; 2.1 Election data; 2.2 Sentiment annotations; 3. Related work 4. Overview of the classification framework4.1 Shallow document classification; 4.2 Deep entity-level sentiment scoring; 4.3 Social network modeling; 4.4 Overview of algorithms; 5. Experiments; 5.1 Experimental conditions; 5.2 Evaluation measures; 5.3 Discussion; 5.4 Significance of results; 5.5 Future work; 6. Conclusion; References; 4. Issue framing and language use in the Swedish blogosphere; Introduction; The case of Sweden: Issue framing and the 'outsider' concept; Methodological considerations; Random indexing Language use by the Social Democratic and the Conservative Moderate Party in relation to 'outsiders'The Conservative Moderate Party; The Social Democratic Party; From quality to quantity in party related documents; Random Indexing of words related to 'outsider' in the Swedish blogosphere 2008-2010; Summary and conclusions; References; Appendix; 5. Text to ideology or text to party status?; 1. Introduction; 2. Background: The Canadian party system and Parliament; 3. First set of experiments: Classifying by party; 3.1 Data; 3.2 Method; 3.3 Results; 3.4 Discussion 4. Second set of experiments: Classifying by party status4.1 Data; 4.2 Method and results; 4.3 Discussion; 5. Classification based on the emotional content of speeches; 5.1 Method and data; 5.2 Results; 6. Third set of experiments: European Parliamentary data; 6.1 Data; 6.2 Method; 6.3 Results; 6.4 Discussion; 7. Conclusion; References; 6. Sentiment analysis in parliamentary proceedings; 1. Introduction; 2. Background; 3. Data; 4. Assessing subjectivity and orientation; 4.1 Classification level; 4.2 Gold standard corpus; 4.3 Automatically determining subjectivity 4.4 Automatically determining semantic orientation |
| Record Nr. | UNINA-9910822629903321 |
| Amsterdam, The Netherlands ; ; Philadelphia, [Pennsylvania] : , : John Benjamins Publishing Company, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||