The Department of Informatics organizes a workshop of Web Scrapping in R on Wednesday, May 29, 2019 in Hall 33, beginning at 4 pm.
The workshop will be held by Professor Hrant Davtyan, American University of Armenia, who knows these methods well. It is required to bring the laptop with installed programs to the workshop.
Due to the restricted number of https://docs.google.com/forms/d/e/1FAIpQLSf0J8Q-0hERNAXToJMgVBekyOsxyIwzvuxDteNMgnrKX6Vfaw/viewform
Workshop: Introduction to R and Web Scrapping
Summary: “Web Scraping and R” – The workshop will start with the introduction to R. It will introduce the techniques for collecting data from websites and structuring it for further analysis. Traditional natural language processing (NLP) techniques will be introduced for structuring textual data.
Place: Lecture hall 33
Time: Wednesday, 29th May 2019; 16 a.m.
Teaching instructor: Hrant Davtyan, American University of Armenia
Pre-requisites: Basic knowledge of MsOffice.
Device: This is a BYOD (Bring-your-own-device) workshop. Therefore, the students should bring their own laptops with the following programmes installed:
1. R statistical programming language (https://cloud.r-project.org/)
2. RStudio desktop open source edition (https://www.rstudio.com/products/rstudio/#Desktop)places, registration is required:
Workshop: Introduction to R and Web Scrapping
Summary: “Web Scraping and R” – The workshop will start with the introduction to R. It will introduce the techniques for collecting data from websites and structuring it for further analysis. Traditional natural language processing (NLP) techniques will be introduced for structuring textual data.
Place: Lecture hall 33
Time: Wednesday, 29th May 2019; 16 a.m.
Teaching instructor: Hrant Davtyan, American University of Armenia
Pre-requisites: Basic knowledge of MsOffice.
Device: This is a BYOD (Bring-your-own-device) workshop. Therefore, the students should bring their own laptops with the following programmes installed:
1. R statistical programming language (https://cloud.r-project.org/)
2. RStudio desktop open source edition (https://www.rstudio.com/products/rstudio/#Desktop)places, registration is required: