Fake news is loosely defined as “lies and propaganda that are falsely presented as news, such as cruel headlines or deliberately manipulated photos and videos, for hateful purposes. The problem of fake news has been around for a long time. Whatever the reason for its creation, fake news is not only misleading to the public, but it can also have a negative impact on individuals, including defamation. As a news consumer and distributor, it’s important to be able to distinguish between fake news and real news to ensure that only real news is available to consumers. However, it is difficult for humans to manually analyse and fact-check news texts one by one, which requires a lot of human and time resources. Therefore, in the field, computer data analysis techniques such as AI and automated analysis are used to identify fake news. The fact that a computer reads and judges the text suggests that the difference between fake news and real news is in the text itself. Through this project, we will analyse the data of fake news and real news and visualise it in word clouds, pie charts, etc. to find out whether there are any characteristics of the text itself.

A startup company aims to create a new business model that deviates from common sense, is positive for society and establishes new values that have never existed before in modern society and industry. However, most of the start-ups that can create this synergy are newly established and the capital of the company itself is small. Therefore, it is essential for companies to attract outside investment, and investors invest in consideration of the future value of these startups. From the perspective of a 'venture capital manager' who invests in start-up companies, we want to find companies that can achieve certain results with guaranteed future value, and invest in, manage and provide strategic support to these companies. For a more precise investment, we will use data on various start-ups to identify the macro and objective conditions of start-ups that can produce results, and analyse and propose strategies to them. In conclusion, using the given data, we find the answer to the following two questions: 'Do various conditions such as the financial status and investment status of the startup company lead to the success of the startup company (M&A, IPO)?', 'What is the startup company's strategy that can lead to success?