We analyze WEB 3.0 Data by Natural Language Tools and different Machine Learning Algorithms to decide which Stocks and Derivatives to Buy or Sell.
We will find your needle in the hay
The rise of social media such as blogs and social networks has fueled interest in sentiment analysis. With the proliferation of reviews, ratings, recommendations and other forms of online expression, online opinion has turned into a kind of virtual currency for businesses looking to market their products, identify new opportunities and manage their reputations. As businesses look to automate the process of filtering out the noise, understanding the conversations, identifying the relevant content and actioning it appropriately, many are now looking to the field of sentiment analysis. Further complicating the matter, is the rise of anonymous social media platforms such as 4chan and Reddit. If web 2.0 was all about democratizing publishing, then the next stage of the web may well be based on democratizing data mining of all the content that is getting published.
So just stop reading news feeds. We will be faster by analyzing different sources like Facebook, LinkedIn, Twitter,.... Text Sentiment Analysis is one of the major drivers of public company values. Depending on the kind of investor you are, you may find value in the sentiment analysis in a few ways.
Investors can use our sentiment analysis to evaluate how much of a company's current situation is the result of sentiment, and how much is based on cold hard facts about the business itself. This may be of use to find companies that are cheap mainly due to very poor sentiment, or to exit companies that are becoming inflated due to sentiment.
Active traders may find it useful to track the sentiment if they tend to trade large numbers of companies. Sentiment is often most indicative of price in the short term. Keeping up with all of the news for all of the companies is very hard. Let sentiment analysis do it for you.