PrimeSearch combines extensive machine learning and NLP (Natural Language Processing) technologies. This technology gives you powerfull functions on the collected big internet data or on your legacy softwares databases.
Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery.
What if you have a system that has massive amounts of content entered at one time? Or a system in which content is generated automatically (through feeds, for instance)? The ideal solution here would be to automatically extract tags from the text itself - and as luck would have it, it is entirely possible to do just that.
Auto-categorization is a type of automated indexing that tends to make use of taxonomies, as categorization requires categories (taxonomy terms). Text analytics can be used as a technology to generate meaningful terms from texts, which in turn can be used auto-categorize content against a pre-existing taxonomy.
TRACKING AND NOTIFICATIONS
Thanks to the technology, it is possible to track (monitoring, listening) the huge number of websites you need at the same time. We may trgigger alerts to you when it needs like when we discover new content or uptates..
CRAWLING AND PARSING
Do you want to crawl and parsing Aliexpress.com? All product categories, all brands, all products, spesifications and Prices and all updates. Just let us know which web sites do you want to crawl and parsing the source data to deliver you in different formats like XML, CVS or any kind.
Sentiment Analysis is the most common text classification tool that analyses text and tells whether the underlying sentiment is positive, negative our neutral.
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