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Sentiment Analysis Framework

An Overview
A vast amount of electronic data available through social networks, blogs, news feeds and other commercial sources, gives ample opportunity to exploit embedded information in order to improve business knowledge and intelligence of an organization. Sentiment analysis aims to spot trends, determine relationships and overall contextual polarity of electronic data between two or more sets, across different data source channels.

As an example of sentiment analysis, consider a blog that contains the phrase: “Today some apples have been really delicious”. The analysis of this phrase for the subject, apple, will give a positive score on a given scale. Conducting such continuous analysis over a period of time, on different data sources, will result to a trend giving useful insight about apple. 

Our Solution
The gains that an organization can leverage from the insight provided by a sentiment analysis system is manifold and this is the reason staila technologies came up with the solution, Sentiment Analysis Framework, that can be adapted to individual needs. The framework collects market data, processes news feeds or any other electronic data feed, applies powerful analytic functions on them and generates knowledge-rich results. It gives flexibility to select or program suitable analytic functions for data transformation and processing. This solution allows quick and easy orchestration of various processing steps into to one evaluation process.
  
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Your Benefits
  • Saves time in analyzing data, defining process and generating reports
  • Unearths non-trivial information hidden in electronic data
  • Spots trends before others
  • User-friendly and portable graphical interface
  • Accessible from web browsers
  • Can be hosted on internet or secure internal network 
  • Results and outputs available in multiple formats
Applications in Finance
  • Intelligence: Analyze how keywords are related to the share prices of certain companies. For example, see how a product of a company influences the market as a whole or how it affects the competitors.
  • Customer Portal: The framework can be integrated into a company's customer portal, where the customers can test their expectation of market movement based on news and events. This service can be extended to allow customers to have their own set of preferences.
  • Internal research: Back your research with historical evidences extracted from news and market movement analysis. The sentiment analysis framework gives the possibility to do a black-box testing on your expectation on certain assets, by comparing them to the related terms appearing in the news.
  • Event-based Trading: With a live news feed and registered events, this framework can be used as a trigger for event-driven trading strategies.
Why choose our solution?
  • Flexible: Thanks to the modular design of the framework, each component can be exchanged to match customer requirements.
  • Complete Solution: The solution comes as a complete plug-and-play software package.
  • Seamless Integration: Sentiment Analysis Framework can be integrated tightly and seamlessly into a customer's IT infrastructure. 
  • Low Maintenance: The solution needs very little or no maintenance at all.