scholarly journals Renaming schizophrenia alone has not altered negative wording in newspaper articles: A text‐mining finding in Taiwan

2019 ◽  
Vol 73 (9) ◽  
pp. 594-595
Author(s):  
Hsuan‐Cheng Chen ◽  
Wei‐Tse Hsu ◽  
Wei‐Cheng Yang
Keyword(s):  
Text Mining ◽  
Negative Wording ◽  
Newspaper Articles

Mapping the COVID-19 Issues from an Urban Perspective in South Korea - Text Mining Analysis Focused on Newspaper Articles

2020 ◽  
Vol 21 (6) ◽  
pp. 163-179
Author(s):  
Eun Jung Kim ◽  
Hye Min Sim ◽  
Jaewoong Won ◽  
Bumjoon Kang
Keyword(s):  
Text Mining ◽  
South Korea ◽  
Newspaper Articles

The Method to Analyze Freely Described Data from Questionnaires

2009 ◽  
Vol 13 (3) ◽  
pp. 268-274 ◽  
Author(s):  
Masaomi Kimura ◽  
Keyword(s):  
Text Mining ◽  
Call Center ◽  
Clustering Algorithms ◽  
Web Pages ◽  
Research Papers ◽  
Text Data ◽  
Textual Data ◽  
The Way ◽  
Newspaper Articles

Text mining has been growing; mainly due to the need to extract useful information from vast amounts of textual data. Our target here is text data, a collection of freely described data from questionnaires. Unlike research papers, newspaper articles, call-center logs and web pages, which are usually the targets of text mining analysis, the freely described data contained in the questionnaire responses have specific characteristics, including a small number of short sentences forming individual pieces of data, while the wide variety of content precludes the applications of clustering algorithms used to classify the same. In this paper, we suggest the way to extract the opinions which are delivered by multiple respondents, based on the modification relationships included in each sentence in the freely described data. Certain applications of our method are also presented after the introduction of our approach.

Multicultural Discourse in South Korea - Text mining Analysis of Newspaper Articles -

2020 ◽  
Vol 72 (3) ◽  
pp. 33-58
Author(s):  
Kyung-Eun Yang ◽  
Beob-Rae Roh
Keyword(s):  
Text Mining ◽  
South Korea ◽  
Newspaper Articles

scholarly journals Dialogue Analysis Using a Text Mining Approach: Case Study of Hirono Town

2017 ◽  
Vol 3 (1) ◽  
pp. 51
Author(s):  
Madoka Chosokabe ◽  
Maiko Sakamoto ◽  
Mikiyasu Nakayama
Keyword(s):  
Text Mining ◽  
Regional Planning ◽  
Planning Process ◽  
Text Data ◽  
Information Transparency ◽  
Local Residents ◽  
The Media ◽  
Similarities And Differences ◽  
Newspaper Articles

This case study examined public participation regarding reconstruction of the disaster-affected areas in the Fukushima Prefecture of Japan following the Great East Japan Earthquake in March 2011. The study aimed at (i) identifying the topics discussed and shared by the residents, and (ii) revealing the contribution of the media to ensuring information transparency in the regional planning process. We applied text mining—in particular, correspondence analysis—to (a) the text data from dialogue sessions with local residents and (b) newspaper articles that appeared in a nation-wide newspaper in order to identify the similarities and differences between the topics discussed by session participants and those that appeared in newspaper articles. It turned out that the newspaper articles did not adequately address some important topics discussed in the dialogues. This implies that the coverage by the mass media has much room for improvement in the transparency of the information it provides and supporting the development and implementation of administrative agendas involving citizens and municipalities.

Science and technology text mining:: Text Mining of the Journal Cortex

2013 ◽  
Author(s):  
Ronald N. Kostoff ◽  
◽  
Henry A. Buchtel ◽  
John Andrews ◽  
Kirstin M. Pfiel
Keyword(s):  
Text Mining ◽  
Science And Technology

Identifying salient political categories in a legislative debate: A text-mining approach to discourse analysis

2013 ◽  
Author(s):  
Cristina J. Montiel ◽  
Ma. Regina E. Estuar ◽  
Audris P. Umel
Keyword(s):  
Discourse Analysis ◽  
Text Mining
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