Startseite Linguistik & Semiotik Sentiment Analysis in Parliamentary Proceedings
Kapitel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Sentiment Analysis in Parliamentary Proceedings

  • Steven Grijzenhout , Maarten Marx und Valentin Jijkoun
Weitere Titel anzeigen von John Benjamins Publishing Company
Zur Verlagsseite
From Text to Political Positions
Ein Kapitel aus dem Buch From Text to Political Positions

Abstract

This chapter addresses the question whether opinion-mining techniques can successfully be used to automatically retrieve political viewpoints from parliamentary proceedings. Two specific preprocessing tasks were identified and systematically evaluated: automatically determining subjectivity in the publications and automatically determining the semantic orientation of the subjective parts. A corpus of recent parliamentary proceedings was collected and a gold standard annotation was created on both subjectivity and orientation. Following this, a number of models based on subjectivity lexicons and machine-learning algorithms were evaluated. Machine-learning algorithms perform best, but methods based on subjectivity lexicons also provide promising results. Based on these results we can conclude that opinion-mining techniques applied to political data score just as well as the state of the art in other more traditional domains of opinion mining like product reviews and blogs.

Abstract

This chapter addresses the question whether opinion-mining techniques can successfully be used to automatically retrieve political viewpoints from parliamentary proceedings. Two specific preprocessing tasks were identified and systematically evaluated: automatically determining subjectivity in the publications and automatically determining the semantic orientation of the subjective parts. A corpus of recent parliamentary proceedings was collected and a gold standard annotation was created on both subjectivity and orientation. Following this, a number of models based on subjectivity lexicons and machine-learning algorithms were evaluated. Machine-learning algorithms perform best, but methods based on subjectivity lexicons also provide promising results. Based on these results we can conclude that opinion-mining techniques applied to political data score just as well as the state of the art in other more traditional domains of opinion mining like product reviews and blogs.

Kapitel in diesem Buch

  1. Prelim pages i
  2. Table of contents v
  3. Foreword vii
  4. Positions of Parties and Political Cleavages between Parties in Texts 1
  5. PART I. Computational Methods for Political Text Analysis
  6. PART I: Introduction 23
  7. Comparing the Position of Canadian Political Parties using French and English Manifestos as Textual Data 27
  8. Leveraging Textual Sentiment Analysis with Social Network Modelling 47
  9. Issue Framing and Language Use in the Swedish Blogosphere 71
  10. Text to Ideology or Text to Party Status? 93
  11. Sentiment Analysis in Parliamentary Proceedings 117
  12. The Qualitative Analysis of Political Documents 135
  13. PART II. From Text to Political Positions via Discourse Analysis
  14. PART II: Introduction 163
  15. The Potential of Narrative Strategies in the Discursive Construction of Hegemonic Positions and Social Change 171
  16. Christians, Feminists, Liberals, Socialists, Workers and Employers 189
  17. Between Union and a United Ireland 207
  18. Systematic Stylistic Analysis 225
  19. Participation and recontextualisation in New Media 245
  20. PART III. Converging methods
  21. PART III: Introduction 271
  22. From Text to the Construction of Political Party Landscapes 275
  23. From Text to Political Positions 297
  24. About the authors 325
  25. Index 331
https://doi.org/10.1075/dapsac.55.06gri

Kapitel in diesem Buch

  1. Prelim pages i
  2. Table of contents v
  3. Foreword vii
  4. Positions of Parties and Political Cleavages between Parties in Texts 1
  5. PART I. Computational Methods for Political Text Analysis
  6. PART I: Introduction 23
  7. Comparing the Position of Canadian Political Parties using French and English Manifestos as Textual Data 27
  8. Leveraging Textual Sentiment Analysis with Social Network Modelling 47
  9. Issue Framing and Language Use in the Swedish Blogosphere 71
  10. Text to Ideology or Text to Party Status? 93
  11. Sentiment Analysis in Parliamentary Proceedings 117
  12. The Qualitative Analysis of Political Documents 135
  13. PART II. From Text to Political Positions via Discourse Analysis
  14. PART II: Introduction 163
  15. The Potential of Narrative Strategies in the Discursive Construction of Hegemonic Positions and Social Change 171
  16. Christians, Feminists, Liberals, Socialists, Workers and Employers 189
  17. Between Union and a United Ireland 207
  18. Systematic Stylistic Analysis 225
  19. Participation and recontextualisation in New Media 245
  20. PART III. Converging methods
  21. PART III: Introduction 271
  22. From Text to the Construction of Political Party Landscapes 275
  23. From Text to Political Positions 297
  24. About the authors 325
  25. Index 331
Jetzt anmelden und 20% sparen
Institutioneller Zugang
Wie funktioniert Authentifizierung?
Haben Sie eine Idee, wie wir unsere Website verbessern können?
Bitte schreiben Sie uns.
© 2026 De Gruyter Brill
Heruntergeladen am 14.2.2026 von https://www.degruyterbrill.com/document/doi/10.1075/dapsac.55.06gri/html
Button zum nach oben scrollen