JOURNAL ARTICLE

Measuring Interestingness of Political Documents

Abstract

Political texts are pervasive on the Web covering laws and policies in national and supranational jurisdictions. Access to this data is crucial for government transparency and accountability to the population. The main aim of our research is developing a ranking method for political documents which captures the interesting content within political documents. Text interestingness is a measure of assessing the quality of documents from users' perspective which shows their willingness to read a document. Different approaches are proposed for measuring the interestingness of texts. In this research we focus on measuring political texts' interestingness. As political data sources, we use publicly available parliamentary proceedings.

Keywords:
Transparency (behavior) Ranking (information retrieval) Politics Computer science Accountability Focus (optics) Government (linguistics) Quality (philosophy) Measure (data warehouse) Perspective (graphical) Population Political science Information retrieval Data science Sociology Data mining Artificial intelligence Law

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
5
Refs
0.03
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Misinformation and Its Impacts
Social Sciences →  Social Sciences →  Sociology and Political Science

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Journal:   Asian Journal of Information Management Year: 2007 Vol: 1 (2)Pages: 43-49
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