Скачать или смотреть Counting Word Frequency Over Time in R: A Step-By-Step Guide

Learn how to efficiently count word frequency by date using R and the tidyverse package. This guide provides a structured process to analyze text data and automate the counting of words over large datasets.
---
This video is based on the question https://stackoverflow.com/q/72516835/ asked by the user 'cheeseburger' ( https://stackoverflow.com/u/19281507/ ) and on the answer https://stackoverflow.com/a/72516955/ provided by the user 'bpvalderrama' ( https://stackoverflow.com/u/13084595/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Word frequency over time : How to count the word frequency by date?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Counting Word Frequency Over Time in R

Word frequency analysis is a vital aspect of natural language processing (NLP) that can provide insights into text data trends over time. In this post, we'll explore a practical example of counting word frequency from a data frame that captures various text entries along with their corresponding dates.

Problem Overview

Suppose you have a data frame structured as follows:

DateText201901Thank you for helping me201902You are amazing201902For helping with thisYour goal is to calculate the frequency of each word for each date, ultimately transforming the data into a more organized format that allows for easy analysis.

The desired output looks like this:

DateThankYouForHelpingMeAreAmazingWithThis201901111110000201902011101111As you can see, the transformation efficiently captures the word counts for each corresponding date.

Solution

To accomplish this task using R, we will leverage the powerful tidyverse package, which provides a set of tools that make data manipulation easier and more intuitive.

Step 1: Set Up Your R Environment

First, you need to ensure that you have the tidyverse library installed and loaded:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Count Word Frequencies

There are two primary ways to organize your output: one as a simple table of counts and another as a more advanced tibble.

Option 1: Create a Count Table

If you prefer your data as a basic table of counts, you can utilize the following code:

[[See Video to Reveal this Text or Code Snippet]]

Output:
This will provide you a frequency table showing how many times each word appears in relation to the dates.

Option 2: Create a Tibble

If you want to further manipulate the data or use it in multiple analyses, consider creating a tibble with:

[[See Video to Reveal this Text or Code Snippet]]

Tibble Output:
This command will produce a tibble, a modern version of a data frame in R, allowing you to see the counts neatly arranged:

DateAmazingAreForHelpingMeThankThisWithYou201901001111001201902111100111Conclusion

Automating the process of counting word frequency over time can be incredibly helpful, especially when dealing with large datasets. By leveraging R and the tidyverse, the process becomes straightforward and manageable.

Now, you're equipped with a simple but powerful method to analyze word frequencies in your text data. Happy coding!