An R package for the Quantitative Analysis of Textual Data
-
Updated
May 7, 2024 - R
An R package for the Quantitative Analysis of Textual Data
What's the most positive or negative religion? . Sentiment and Data Analysis of Holy Books with R. Analysis of religious dogmas by exploring their Holy Books (The Bible, The Quran, The Dhammapada, and The Book of Mormon) with R
I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at
Analyzing the impact of Twitter Activity on the Performance of Tesla Stock - A Text Analytics Project in R
I worked as a social marketing analyst in a consulting company to uncover the impacts of online advertising and communication with customers. The aim of the study is to educate the marketing teams of their clients (in diverse industries) to market their products and/or services on social media to maximise customers’ involvement (positive interes…
A program built on LIWCalike and quanteda to produce LIWC2015 results
Text mining, also known as text analysis, is the process of transforming unstructured text into meaningful and actionable information.
Analyzes text using the discrete time Markov model
Add a description, image, and links to the text-analytics topic page so that developers can more easily learn about it.
To associate your repository with the text-analytics topic, visit your repo's landing page and select "manage topics."