Gavagai provides services for citizen observatories

Gavagai is proud to be providing services to UNESCO-IHE and other partners of the Ground Truth 2.0 which is a project for developing citizen observatories on climate change and related matters in several countries: the Netherlands, Belgium, Spain, Sweden, Kenya, and Zambia. Gavagai will both use the Gavagai Explorer to process text material gathered by rapporteurs in the field (such as species observations and other similar responses) in many languages and will also provide media analysis of the attitude of the general population vis-a-vis concepts of interest to the project. This project is in line with several others that leverage…


What’s that Odor?

I use Gavagai Lexicon extensively to lookup the actual use of words present in everyday online language. So, when the notion of “odor”, for some reason, popped up at the office yesterday, I turned to the Lexicon to see what our self-learning semantic memory has learned about it. The annotated screenshot below shows that the semantic memory knows three fairly distinct meanings of “odor”. The most prominent one has to do with “smell, stench, reeked”. A second meaning has to do with odor as instrumental in alerting people to something else, such as “foul odor alerted residents to dead body”. The…


Take the labor out of qualitative

Meta4 Insight® is an online survey platform that automates the collection of in-depth qualitative data from hundreds of respondents to uncover their deep-seated thoughts and feelings. The platform features Gavagai’s built-in advanced text analytics to enable a quantitative assessment of salient themes and automatically generates shareable outputs, visualized with insightful image clouds. Here is a recorded webinar that describes the use of Meta4 Insight in a case. View case study  


The extraordinary productivity of foul language – Do you and your text analytics solution know these bad words?

By looking into the extraordinary productivity of foul language, this post showcases the ability of the Gavagai’s semantic memories to automatically learn and relate terms in a vocabulary. If you are sensitive to swearing and cursing, you should stop reading now! Foul language, profanity, expletives, and bad words. The creativity of the human mind when it comes to inventing impolite, rude or offensive language is simply amazing. But regardless of how productive a single human being might be, she still will never be able to come up with all the variants of a given bad language concept used throughout an…


What is an efficient way to analyze answers to open-ended survey questions using language technology?

There are challenges to analyzing free-text answers. In the following discussion I will assume that the purpose of the analysis is to achieve an understanding of the themes being discussed and the relative strengths of these themes as well as to get accurate quantification of the numbers of respondents and percentages for each theme. Knowing about multiword expressions. Important concepts in text often consist of more than one word,  for example: “San Francisco”, “no-fly zone”, “give me five”, or “kick the bucket”. An automated tool for analysis of answers to open-ended survey questions needs to understand such multiword expressions or the…