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Textkernel talks - introduction to Textkernel

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Darko Zelic
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About Textkernel• Founded in 2001, currently 65 employees• R&D spin-off from research in Natural Language

Processing and Machine Learning at the Universities of Tilburg, Antwerp and Amsterdam

• Specialised in information extraction, web mining and semantic searching & matching in the HR industry

About Textkernel Talks• Technical and practical presentations from research and

industry specialists• Topics: NLP, IR, deep learning, semantic search, LTR, ...• Previously: (semi-)private events, irregular frequency• Plan: public monthly events (our meetups + hosting other

meetup groups)• Ideas? → [email protected]

About me• Software Engineer at Textkernel since January 2012.• Working on core products and on new prototypes /

innovation ideas• MSc in Computer Science @ FTN, Novi Sad, Serbia• BSc (hons) in Software Engineering @ RAF, Belgrade,

Serbia• hackathons, craft beer, digital photography and black

metal

• Find me at <almostAnySocialNetwork>/dachaz

• A small overview of Textkernel’s products• Boaz Leskes talks about Resiliency in Elasticsearch

Today

• A small overview of Textkernel’s products• Boaz Leskes talks about Resiliency in Elasticsearch

• pizza and beer! (and sodas)

Today

Harvester

Extract!

Sourcebox

Match!

Jobfeed

Search!

Empowering recruitment

Textkernel products in a recruitment process

Automatically converts resumes into complete candidate records

Extract! CV Parsing

SourceboxDocument workflow, automating the bulk of application processes

• A positive candidate experience (quicker application process)• Time saving when entering resumes• Structured data allowing better search

Extract! & Sourcebox

Easily, effectively and efficiently find candidates in multiple databases and social media powered by Elasticsearch

Search!

Auto suggest

Search with

synonyms

Semantic search

Searching in multiple sources

•User-friendly interface•Simultaneously searching multiple databases and social media•Save external profiles quickly and easily

Search!

Automatically get an overview of relevant candidates for a given job and vice versa

Match!

Upload a job posting and

automatically get a search

query

Search with a job ad

•Automatic, fast and relevant•Transparent search•No tedious and expensive query formulation•Fast and cost-effective way to fill positions

Match!

Search and analyse real-time online job ads as well as historical data

powered by Elasticsearch

Jobfeed

Jobfeed

Search all online jobs by criteria like

organisation, intermediary and

sector

A job from Jobfeed is converted

into a query

and matched to

the candidate database

Match integration

Automatic collecting and publishing of job ads from customer’s websites onto job boards

Harvester

Why did you tell me all of this?• Giving you a (vague) idea about our products and

technologies→ hint what you can expect on future meetups

Why did you tell me all of this?• Giving you a (vague) idea about our products and

technologies→ hint what you can expect on future meetups

• We’re hiring!→ http://www.textkernel.com/jobs/