Text Analytics & Sentiment Analysis Software for Enterprise Search
Search is the grandfather of unstructured content technologies, but as a grandfather it shows its age when trying to deal with today’s huge volumes of content. Synonyms, metaphors, emoticons and other features of the content we interact with every day all conspire to make finding information with search tougher.
Text analytics and opinion mining provides one of the key tools in addressing these problems. By text mining and analyzing the content sources for sentiment before they are indexed, you feed your search engine with key items such as who is talking, what they are talking about, and how they are feeling.
Text analytics is typically integrated into the content acquisition and indexing component of a search engine to mine out metadata and improve the quality and consistency of content before it is indexed. This means that you can browse your content, rather than just search it. With a text analytics and opinion mining solution integrated into search, you can ask more general questions like:
- Who's hot and who's not?
- Is there any breaking news I need to know about?
...and not become overwhelmed by legions of unstructured information.
- Empowers search to work on ideas/concepts rather than simple term matches
- Extracts the metadata that become the facets of faceted search applications
- Improves the searchability of social content in a corporate search application to better analyze social media
"It took 2 engineers only 4 days to integrate Lexalytics' Salience Engine into our content processing pipeline."--Nick Halstead CEO & Founder, Datasift
"We conducted several tests on our data and found Lexalytics to be at the top of the list when it came to results and affordability. Lexalytics was able to provide a solution that exceeded our expectations in ease-of-integration." --Chris McNeilly, VP of Software
At Bottlenose we combine big data with the latest web technologies out there. We’re big fans of Node.js, Elasticsearch and HTML5. Integrating Lexalytics into our Node.js-centric stack was easy, the Salience Python modules allowed us to create high performance HTTP APIs which we could then scale up into our pipeline to get the desired >1000 msg/s throughput we needed. --Dominiek ter Heide, CTO
Lexalytics' enterprise class text mining, coupled with Coveo’s Search & Relevance technology helps take Knowledge Management programs to a broader and deeper level of employee and customer engagement. The ability to auto-generate taxonomies, enrich content with metadata, understand relationships among information in vastly different systems and bring only relevant information and experts into the flow of work are all next-generation capabilities that KM practitioners need to leverage. --Diane Berry, Chief Knowledge Evangelist