2_0_DiscoverGermany_July 2015_Issue28:Scan Magazine 1
26/6/15
11:44
Page 90
Right: The sentiment analysis for example is used to assess products of two leading companies, using Tweets. Portrait: Mag. Dipl.-Ing. Dr. Marcus Hassler (CEO) & Dipl.-Ing. Markus Schicho (CTO)
the code book can be adjusted accordingly. For example: “dismissal” is a good term for the financial industry because it means saving costs. In a more political context the connotation is something completely different. At the moment the program is available for texts written in German and English. For analysing a product’s credibility the program normally uses two sources: The social analysis uses the Twitter stream, while the news analysis relies on high-level-data provided by Thomson Reuters and Dow Jones. Every analySpecial Theme sis therefore is up-tothe-minute.
Successful Start-Ups
Currently econob has a unique offer for those with exciting application scenarios but who are searching for a filter aid. econob provides a first consultation worth 400 euros free-of-charge for the first 20 potential customers getting in touch via office@econob.com. But who should choose econob? ”Our target group consists of customers who rely on information and want to know what their clients think and feel,”say the consultants.
Austria
econob “We know what your customers think. Are you curious, too?”
The amount of information we handle every day has already become untameable and time-consuming. But big data is also an inexhaustible and valuable source and only those able to benefit from it will be an international market leader. Here econob’s approach comes into play.
www.econob.com TEXT: JESSICA HOLZHAUSEN | PHOTOS: ECONOB
econob is one of Europe’s leading Natural Language Processing (NLP) companies. Part of NLP is enabling computers to understand natural human language, to derive meaning from the written word, which is exactly what econob does. They put an emphasis on ‘sentiment service’ that, in short, analyses texts to find out how positive, negative or neutral a product, a person or a company is mentioned. Many well-known companies already use this tool in their everyday work.
90 | Issue 28 | July 2015
To describe it in an easy way: The analysis is based on an adaptable glossary of words with positive or negative connotation. The program not only interprets single words, but is also able to put the words into a logical semantic context. An example for a sentence that will get an overall positive result would be something like “I am very happy and content with my new mobile phone even though it might be a bit expensive.” Of course every sector is different and so