Data Scraping and Text Analysis

Quantitative Methods Workshop Series

Data Scraping and Text Analysis. This is a 3-day course that takes place on Jan 25, Feb 1, and Feb 8 (12:00 pm - 2:00 pm)

York University

I﻿nstructors: Arjun Singh, MSc (arjun10@yorku.ca) and Eric Tu, MA (erictu@yorku.ca)Are you interested in what people are talking about online? What about sports game/player statistics or book movie/TV show/game reviews? The internet has a wide array of data that can be scraped and processed to show different trends. How often is a certain word used on specific subreddits? What is the average points per game for all 6-foot players? This workshop will provide you with the tools to scrape the data and analyze it to answer questions like these.In this course, we will use R and begin by going over different data formats, strings, and factors.We will then discuss how to scrape data from any website (e.g., IMDB, NBA), as well as looping over functions to scrape for keywords on certain websites (i.e., Reddit, Twitter). We will discuss cleaning the data using regular expressions (Regex), and show you how to look at word counts, n-grams, use dictionaries to look at the valence of words, and how to use natural language processing (i.e., Latent Dirichlet Allocation) to model words into different topics. We will also demonstrate how to make different visualizations of the data including bar graphs, correlations, and word clouds.

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Data Scraping and Text Analysis

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