A sentiment analysis is a useful way of gauging group opinion on a certain topic at a particular point in time.
Using social media data, let us see how we can use the twitteR library to stream tweets from Twitter and conduct a sentiment analysis to determine current sentiment on gold prices.
Continue reading “Sentiment Analysis with twitteR and tidytext”
In conducting probability analysis, the two variables that take account of the chance of an event happening are N (number of observations) and λ (lambda – our hit rate/chance of occurrence in a single interval). When we talk about a cumulative binomial probability distribution, we mean to say that the greater the number of trials, the higher the overall probability of an event occurring.
Continue reading “Cumulative Binomial Probability with R and Shiny”
The purpose of the plyr and dplyr libraries in R is to manipulate data with ease.
As we’ve seen in a previous post, there are various methods of wrangling and summarising data in R. However, wouldn’t it be great if we had some libraries that can greatly simplify this process for us?
Continue reading “plyr and dplyr: Data Manipulation in R”
Decision trees are a highly useful visual aid in analysing a series of predicted outcomes for a particular model. As such, it is often used as a supplement (or even alternative to) regression analysis in determining how a series of explanatory variables will impact the dependent variable.
Continue reading “Decision Trees and Random Forests in R”