The Securities and Futures Commission of Hong Kong has built a database to store all the news articles related to finance and stock. They once contacted us to develop a visualization system which can show the sentiments of different groups of people towards a finance policy and whether the sentiments change over time. For example, from the following articles, we know that Meng Xiaoming is negative on the first policy but is positive on second policy.
Article 1: Financial industry in Hong Kong and China slams government debt swap programme
“The government’s manner of enforcing the debt swap has been very crude,” said Meng Xiaoning, chief executive of TF Securities in Hong Kong.
Article 2: China's watchdogs step in to avert Sinosteel bond default
Mainland regulators make rare intervention in bond market, with the company's debt holders told to redeem their notes a month later
Meng Xiaoning, the chief executive of TF Securities, said he was cautiously optimistic on the drive to internationalise the country's bond market.
Please design visualizations:
- Given a policy, visualize the sentiments of a group people toward this policy and whether they change over time
- Given a person, visualize the sentiments of this person towards a set of policies and whether they change over time
- You system also needs to show the keyword summary of the newspapers related to the sentiments like the one above with the request of users