More information regarding this famous Research Event on Natural Language Processing (French version) : Inbenta fera une démonstration de l’Inbenta Semantic Search Engine à la conférence TALN le 20 Juin 2013
More information regarding these 2 events here (French version) : Traitement de la voix du client en Banque et Assurance - 13 Juin 2013 - Paris
Natural Language Search is basic tool to make sure queries entered at a public-facing website return meaningful answers. We don't need documents that contain the words we typed in a search box, we need documents that answer our questions. How can we accomplish that? The meaning-text theory, gives a totally new approach to the problem, with very interesting results, proven in many industries.
See this video on Jordi Torras talking about all that at eBay Bay Area Search Meetup on April 24th 2013
Red Herring announced its Top 100 award winners today, recognizing Europe’s leading private companies, including Inbenta.
Amsterdam, Netherlands (PRWEB) April 11, 2013
Red Herring announced its Top 100 award winners today, recognizing Europe’s leading private companies and celebrating these startups’ innovations and technologies across their respective industries.
Red Herring’s Top 100 Europe list has become a mark of distinction for identifying promising new companies and entrepreneurs. Red Herring’s editors were among the first to recognize that companies such as Facebook, Twitter, Google, Yahoo, Skype, Salesforce.com, YouTube, and eBay would change the way we live and work.
Jordi Torras, CEO of Inbenta will present the latest trends on Natural Language Processing and how it can increase conversion rates for your website.
Whether you're a marketing director trying to get a greater return on your ad spend, the owner of an online business, an ecommerce or product marketer or interactive designer, Conversion Conference will teach you how to make your website convert more visitors into leads and buyers.
Search engines have used Natural Language Processing and semantics for a while now, but marketers still have to harness the potential of using natural language search on their sites to boost search-to-buy conversions. The latest theoretical frameworks like Meaning-Text Theory and Lexical Functions can lift conversion rates by as much as 400%.
Sunnyvale- March 18 2013– Inbenta Technologies Inc. announced today it has been selected as a Finalist for Red Herring's Top 100 Europe Award, a prestigious list honoring the year’s most promising private technology ventures from the European business region.
The Red Herring editorial team selected the most innovative companies from a pool of hundreds from across Europe. The nominees are evaluated on 20 main quantitative and qualitative criterion: they include disruptive impact, market footprint, proof of concept, financial performance, technology innovation, social value, quality of management, execution of strategy, and integration into their respective industries.
Inbenta has been awarded the Gold European Seal of e-Excellence for the second year in a row. This year, the award ceremony will be held at the Open Stage of the CeBIT the 5th March at 4.30 PM.
In 2012, Inbenta was awarded the prize due to its efforts in promoting the marketing of information and communication technologies within the field of semantic technologies: Inbenta wins the European Seal of e-Excellence 2012
You can find more information about this here.
Inbenta, a provider of Natural Language Processing technologies and Semantic Search, announces that Grasshopper was able to reduce the number of oncoming e-mails by using Inbenta Semantic Search on their Customer Support portal.
Inbenta, a provider of Natural Language Processing technologies and Semantic Search, today announced that Grasshopper was able to reduce the number of oncoming e-mails by using Inbenta Semantic Search on their Customer Support portal. Grasshopper customers are now able to find more of the answers they’re looking for without submitting a ticket to their support team.
This document will tell you valuable tips to build structured and optimized knowledge database that will answer most of your user's questions.
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