How will AI and machine learning impact the future of recruitment?
Our partner Bullhorn published a Q&A session about the future of recruitment and how AI and machine learning will have an impact on the HR industry. You can read the full interview with me below. There’s been a lot of talk about…
10 February 2017 Blog Continue reading
What is it like to be a NLP research engineer at Textkernel?
Tarek Mehrez started working at Textkernel in November 2016 as a NLP research engineer. Originally from Cairo, Egypt, he finished his Master’s in natural language processing in Germany and pursued some internships with Amazon & Sony. In this interview he will…
19 January 2017 Blog Continue reading
Developing Greek CV parsing: an Odyssey
Textkernel has been developing its 17th cv parsing language, which will be released soon. You can read about the development of the Greek cv parsing language in Konstantinos’ blog post: My journey started halfway through August, when I was appointed…
9 December 2016 Blog Continue reading
Recruiting e-leaders – what do companies want and what does the perfect e-leader look like?
Recruiting the right person for a leadership role is a significant challenge. As Forbes contributor Ken Sundheim put it: “Hiring good people is hard. Hiring great people is brutally hard. However, it’s brutally necessary”. This is even more true for…
14 November 2016 Blog Continue reading
Moving to Chicago to develop business for Textkernel in the US market
Moving to another country for your job; almost half of the colleagues in Textkernel did this to work in our office in Amsterdam coming from over 20 different countries. Now that me and my family (husband and 3,5 year old…
31 October 2016 Blog Continue reading
Building a large knowledge graph for the recruitment domain with Textkernel’s ontology
A few years after Google announced that their knowledge graph allowed searching for things, not strings, knowledge graphs and ontologies have been gaining momentum in the world’s leading information organisations as a means to integrate, share and exploit data and…
4 October 2016 Blog Continue reading
Deep Learning for Categorizing Job Titles
A Java programmer does the same as a Java developer does the same as a Java software engineer does the same as a Java ninja (although one of them might be faster, better, stronger than the others). So when an…
15 September 2016 Blog Continue reading
Online job postings have many duplicates. But how can you detect them if they are not exact copies of each other?
For Jobfeed, Textkernel’s real-time database for labor market analysis, we crawl the web for online job ads. Of course, ensuring the high quality of this database raises many technical challenges. One of them is the detecting duplicates of job ads….
2 September 2016 Blog Continue reading
At 15, Textkernel proves its innovative spirit is alive and well
The end of the summer has become over the years the most anticipated moment in the life of the company. Textkernel just organised its fourth “Innovation Week”; an internal event where colleagues from different teams gathered for 5 days to work on…
31 August 2016 Blog Continue reading
Hiring a dog, a sheep or a centipede? The colourful language of Dutch recruiters
Feeling like a fish in the water or a sheep with five legs? Animal-related expressions are commonly used in colloquial Dutch. So commonly in fact, that they very often find their way into job titles. Marte Meijs, Textkernel’s Marketing and…
29 July 2016 Blog Continue reading