No analysis can be better than the base of data it’s built on. Our goal is maximize coverage and data quality by using a combination of the most sophisticated information retrieval and extraction methods:
Instead of relying on a limited set of source sites, Insius collects all data available to search engines with focused crawlers leading to maximum coverage.
Insius uses machine learning and computer vision algorithms to filter irrelevant page elements like navigation and ads in order to keep only the content-bearing text elements of webpages.
Keyword combinations like "continental and (tires OR car) NOT airline" are only partly useful in ensuring topic-relevant results of search queries. Keyword searches either don't catch all relevant results or catch too many irrelevant ones. By using advanced Information retrieval methods we ensure that only results matching your point of interest are returned.
If you want to hear the voice of the customer you are usually faced with the problem that user-generated content is mixed with professional and editorial content. Using adaptive algorithms, Insius data collection is able to tell apart professional from user-generated content at high accuracy ensuring that you are able to listen to the voices you are really interested in.