6. Conclusion

This investigation proved that the technique of the Sentimental Analysis can be a new method of the evaluation for the various social issues in the near future. There also were two main themes other than Sentimental Analysis in this paper. One is the media influence on the public opinions. The other one is the people's reactions towards the Syrian refugee crisis that has been discussed in the western world ever since it happened. As for the media impact on the people's emotion, the result that the media coverage does not affect the public opinion so much was so surprising because the media has long been seen as the most influential information source.

So many possible reasons can be assumed for this public aversions to the big media. For one thing, these days ordinary people tend to take what they think is good and leave what they think is bad when it comes to choosing information sources.

Social networking tools like Twitter and Facebook in which people can exchange their opinions freely without any hesitations, the increase floods of unreliable and provocative mini media and the distrust of the major news companies' honesty have created the current strange social emotions. Inexplicable events like the realization of Brexit or the Trump's winning for the Presidential election show a glimpse of the upcoming new era where the exact future foresee becomes much more difficult than it used to be. Though people nowadays are willing to aggressively collect the information they are interested in, those actions might lead them to a heavy concentration on the extremely biased opinion. What is more, it is liable to raise the ancient populism which brought us many conflicts in the past generations. "If you tell a lie big enough and keep repeating it, people will eventually come to believe it (Dietrich, 2016)" The famous proverb of Joseph Goebbels who was an ill-famed propagator of Nazi somehow tells us that complicated entanglement of information might be beneficial to the demagogues who want the society to be in chaos.

The target of the warning is not limited to our humans. The other day, Microsoft released an artificial intelligence chatterbot called "Tay". It used Twitter to learn various knowledge from interaction with other users. However, within few hours from its start, it became a vicious racist due to the malicious interference from others (“Microsoft”, 2016). This incident suggested that the AI system has many flaws in it. On the other hand, it is quite certain that the machine learning techniques will make great progress within next few decades. For example, the Sentimental Analysis will absorb similar fields' methods like "voice sentimental recognition", "facial expression analysis", "psychological sentimental analysis" and things like that. Then the new sentimental analysis method which might be called "Integrated Sentimental Analysis" will be established in the near future. "Integrated Sentimental Analysis" can be used for software like Apple's Siri to analyze humans' feelings more accurately or it will be important technology for androids' humanization. It seems that the day when the machines can dream of Electric Sheep may not far away from now.