*Abstract
For this week's assignment, I did research on the analysis of the methods of using word-cloud data for the academic theses. In addition, I looked into “corpus” briefly. As for the word-cloud research, I read through the articles you sent me the other day. Those are “Using Tag Clouds in Academic Writing” by Writing Studio and “Using Tag Clouds to Visualize Text Data Patterns” by SURS. There are many useful tips for treating word-cloud information to help write my long essay. I would like to introduce some of them in this report.
In addition, I found the info site “corpus” truly convenient for collecting media trend indicators. The data, which the “corpus” gives me, would make my thesis more persuasive.
*Review for “Using Tag Clouds to Visualize Text Data Patterns” by SURS
In this article, a lot of Tag cloud sites and applications are introduced. Moreover, they show how to use them as a mean to summarize contents. Among them, I was interested in Figure.8, which is very close to what I want to do in my paper. Among them, I was interested in Figure.8, which is very close to what I want to do in my paper. According to the text, the cloud-picture was generated by article titles from the Human Factors and Ergonomics Society’s (HFES) journal over the past 50 years. This would be applicable for my news headline analysis.
*Review for “Using Tag Clouds in Academic Writing” by Writing Studio
This method that the site shows is quite interesting because it is a suitable way for my thesis theme. For example, the researcher conducted an evaluation of "President Bush's State of the Union addresses". Those results are so convincing and it can be applied to the media trend study which is one of my research objects. In particular, when it comes to scouring someone's opinion or statements, those techniques would be quite useful. Previously I created some tag-cloud pictures made of David Cameron’s speeches in reference to this report.
*Review for “Corpus”
One of the
astonishing features, which “Corpus” have, is the variety of the evaluation
styles. For instance, the site enable us not only to search certain words among
vast news articles but also to generate a lot of handy charts or figures from
various keywords that helps illustrate the report outcomes. I searched some
phrase and collected those data.
The
figure.1 above shows how often the word “refugee” is used in news articles from
2010 to 2016. As you can see, the word “refugee” suddenly began to appear since
2015-B period. This seems to relate to the Syrian refugee crisis, especially
the incident of the drown boy in Turkey definitely affect the media trend. The figure.2 illustrates the frequency of the word “migrant”
usage. We can find an interesting similar transition between the word of
“refugee” and “migrant”. On the contrary, the figure.3, which is the indicator
of the word “immigrant”, depicts that the phrase have not been used
comparatively in the media after the terrible tragedy started to be paid
attention to.
Conclusion
Thanks to
this experiment, I could find many new ways to enrich my research paper. So
far, I get three main topics to pursue. One is “Headline evaluation” using
Net-tone and second one is “Tag-cloud” and third one would be “Corpus
analysis”. I am sure that those methods helps improve the credibility of my
report.
