Headline analyses

*Abstract

             

              For this week’s experiment, I did continuously research on the methods of “Sentimental Analysis” for news headlines. Previously, I found two software which can analyze sentences. They are “Corenlp” and “Text analysis (Google sheet’s add-on)”. Therefore, this time, I tried to find the way that increases the credibility of the results of Sentimental analysis using them.

*Method

              As you instructed in the last meeting, I compared the three results of “my reaction”, “Corenlp” and “Text Analysis” to calculate the credible sentimental trend. Then, I also searched for the news headlines which all three criteria regarded as the same category (Positive, Negative and Neutral).

*Result (P: Positive / N: Negative / L: Neutral)

News headlines	My Reaction	Corenlp	Text Analysis	Mean
UK net migration hits record high.	L	P	L	L
Who will be banned under Trump's immigration plan?	L	L	L	L
Eastern European workers in UK pass one million.	N	L	L	L
Australia's immigration minister accuses asylum seekers of lying.	N	N	N	N
Germany's AfD leader wants failed asylum seekers housed on islands.	N	N	N	N
Changing attitudes of a German city.	L	L	N	L
Anti-Islam group storms Anglican church in Australia.	N	L	L	L

*Conclusion

All in all, the result of the experiment was useful in that I could find some possibility that there might be some ways to evaluate the sentimental analysis for news headline using those software. However, I found that there were also many drawbacks to fix in order to get credible information. For example, the reliability of the assessment is still not so strong. It would be necessary for me to learn from the similar themes to make my research method more academically suitable.

Useful Sites for analysis

*Abstract

             

              This time, I scrutinized two research sites which enable me to analyze the sentimental trend among people. One is “Social Searcher” which shows us a lot of useful information about particular keywords. The other is "Google Sheets" that has many remarkable evaluation methods in it. I actually used them, and tried to find out whether it is convenient or inconvenient for my experiment.

---“Social Searcher”---

[Review]

This site can evaluate the detailed sentimental analysis for various SNS community sites including “YouTube”, “Instagram”, “Twitter” and things like that. Also it can evaluate linguistic features like “types of users” and “Keywords density”. However, unfortunately, there are some drawbacks as well. For example, “Social Searcher” has no option to search the result data by the certain date. This means if you want to get information about public reactions one or two years ago, it would be quite difficult because of the deficiency. Given its unstable trait, collecting past data from SNS like “Twitter” might be so complicated. 

---“Google Spread Sheets (Using its add-on “Text Analysis”)”---

[Review]

              Nowadays, there are many computer software which can calculate sentimental analysis. Those divide sentences into three categories “Positive”, “Neutral” and “Negative”. For this week’s report, I happened to find another analysis application called “Google Spread Sheets”. “Google Spread Sheets” is a software which is provided by Google. It is quite similar to “Microsoft Excel” and many add-ons are available for it. “Google Spread Sheets” does not support sentimental analysis. However, its add-on “Text Analysis” enable us to evaluate sentences’ trend. The below is the example of the add-on function.

*For comparison, I attach the result of the Corenlp’s analysis.