Importance of Information Sources in the Process of News Analysis

Friday, 18 November 2016

Yige Zhao InfoTrie

Today, data is changing people’s lives. In the financial industry, hundreds of millions of pages are produced daily in SEC and global fillings, broker research, conference calls, investor’s relations presentations, social media, real-time news and press releases … across many languages. It is physically impossible to read all this.

So, the news analysis does matter:

InfoTrie offers cutting-edge technology to analyze the humongous flow of information produced by the financial industry. Our technology allows you to truly leverage this big data by uncovering low signals, alerting you in real time, cutting the noise and feeding your systems. We offer sentiment analysis for stocks, Trading Sentiment, Market patterns news, reputation sentiment, market risk sentiment index and so on to help make smarter decisions.

In the process of news analysis, the first step is collecting sources. Reliable information sources are really significant. And different sources lead to varying widely different analysis results.

Let’s take Pelindo data from 26/2/2014 to 14/5/2014 as an example.

Most of the content we found is in Indonesian. There is very few content in English, outside of Jakarta Post.

We quite easily detect 2 cases:

  • case 1: A wave of protests/strikes, with a continuous (low) flow of articles, even starting from December 2013 (not shown in the graph)
  • case 2: The alleged corruption case which found a deep echo in the local press, but almost nothing in the international one.

pelindo

In fact, most of English news are translated from Indonesian news. Thus, we can easily find following conclusions from this example:

  • English contents have limitations in this situation.
  •   Compared with English, the local press in Bahasa can offer information to us fastly.

It is a good example explains why you need InfoTrie:

We always use premium sources of news and information, cut the huge amounts of noises, complete the classification, filtering and recommendation automatically by machine learning and artificial intelligence to screen out the most valuable investment information for you.

Thus, you can spend only 10% of the time on reading, and use 90% of the time for judgment and make decisions.

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