Monthly Challenge – Ontotext case – Solution – ABCs
Understanding and Exploring the Data
Author: nikola
Monthly Challenge – Ontotext case – Solution – Team epistemi
Week 1. Data Understanding + Feature Extraction We have been provided with a dataset consisting of 277419 records, which are extracted from DBpedia. It has 6 features and 1 label of 32 classes as summarised in below table: ID Item Name Item Type Observations 1 org Feature URL; may be useful for extraction of additional […]
Monthly Challenge – Ontotext case – Solution – Outliers
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Monthly Challenge – Ontotext case – Solution – [PB&J]
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Monthly Challenge – Ontotext case – Solution – Door
ontotext_monthly_challenge
Monthly Challenge – Ontotext – Case
Monthly Challenge: https://www.datasciencesociety.net/events/text-mining-data-science-monthly-challenge/ Mentors’ Weekly Instructions: https://www.datasciencesociety.net/text-mining-data-science-monthly-challenge/ Real Business Problem Classification of companies into industry sectors is a fundamental task for unlocking advanced business intelligence capabilities. However different data sources rarely use the same classification system if any. This is a huge obstacle for taking advantage of the available details in Open Data and very niche commercial […]
Datathon Ontotext Case – Help the Data Get Rich Overnight
Dear Society, you should register for the Global Datathon 2018 – http://bit.ly/2wadU9C in order to see the case descriptions! 🙂
Text Mining Data Science Monthly Challenge
Why you should join the Data Science Monthly Challenge and what you can expect? The Data Science Monthly Challenge provides an exceptional opportunity for participants, no matter of their background and previous experience, to be involved in finding a solution to a real data science problem step by step. The proposed gradual approach towards advanced business […]