Topic Analysis by Exploring Headline Information

Author(s):  
Rong Yan ◽  
Guanglai Gao
Keyword(s):  
2019 ◽  
Vol 12 (2) ◽  
pp. 195-224
Author(s):  
Seongbhin Joo ◽  
◽  
Haesung Yoon
Keyword(s):  
Big Data ◽  

2002 ◽  
Vol 8 (2-3) ◽  
pp. 209-233 ◽  
Author(s):  
OLIVIER FERRET ◽  
BRIGITTE GRAU

Topic analysis is important for many applications dealing with texts, such as text summarization or information extraction. However, it can be done with great precision only if it relies on structured knowledge, which is difficult to produce on a large scale. In this paper, we propose using bootstrapping to solve this problem: a first topic analysis based on a weakly structured source of knowledge, a collocation network, is used for learning explicit topic representations that then support a more precise and reliable topic analysis.


2016 ◽  
Vol 328 ◽  
pp. 270-287 ◽  
Author(s):  
Jorge E. Camargo ◽  
Fabio A. González

2016 ◽  
Vol 69 (4) ◽  
pp. 432-452
Author(s):  
Steve Mason

AbstractThis article examines two topics that emerge from N. T. Wright's Paul and the Faithfulness of the Gospel: Paul the Shammaite-zealot and the ‘great narrative’ of an Israel in exile, waiting for something. The perspective adopted is that of a historian, for whom the fundamental question is whether Wright's accounts approximate plausible reality two thousand years ago. With respect to the first topic, analysis of source material on the Pharisees in the pre-70 period renders Wright's association of Paul with the rabbinic ‘House of Shammai’ and zealotry doubtful in every part. Similar issues arise in relation to the second topic, where Wright's proposal is supported by a kind of proof-texting, without methodical concern for the nature, context, coherence, themes, rhetoric or meaning of texts in situ.


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