Saplo provide technologies that extract and refine valuable information from large quantities of text.
Forget everything you know about searching, this is something completely different. Saplo Search matches the meaning of a word, a phrase, an article or a collection of different texts against other words, phrases, articles or text collections.
Assume you have collected a lot of news articles, how could Saplo Search be used to search among those articles?
As you can see this brings a whole new dimension to search where the meaning of words and phrases becomes much more important than single keywords stacked on top of each other.
For you this opens up a lot of new possibilities to create amazing applications. Saplo Search can be used to personalize, filter, recommend and much more.
Depending on what you are trying to acheive there are a bunch of different methods for searching using Saplo Text Analysis API. Some of the most popular ones include:
With Saplo Prediction we put our technology up to the biggest challenge we can possibly think of, predicting outcome given a specific dataset.
To automatically be able to determine whether a tweet, a Facebook post or a news article is positive or negative can prove valuable when measuring brand reputation, customer satisfaction or when predicting who will win the United States presidential election of 2012.
Sentiment from Saplo is available through our Text Analysis API using the text.predict method.
Other than sentiment, Saplo can measures a wide variety of concepts across time, including environment, emotions, security, changes, etc. An example of this would be to measure how environmental friendly an organization is perceived. In many cases this ability to look at concepts other than sentiment is far more interesting.
Measuring change is a particularly interesting feature. What we do is basically to track when the way something is described in is changing. Look at an organization like Apple, the way news articles are written about them differs a lot between year 2000 and 2010. Our way of early picking up on differences in text with Saplo Prediction could prove valuable in predicting trend changes. Another interesting example is to look at the change in stories leading up to the financial crisis of 2008.
In its most advanced form Saplo Prediction can be used to predict future events. Using historical data - including text in a variety of formats - to make predictions about future trends we have showed that our Text Analytics technology can be a used as a valuable component in Predictive Analytics.