Text mining Social Media Data
In this personal project, I downloaded my own social media data and performed textmining on it.
This is a word cloud made in R programming language. In order to create this word cloud, I cleaned social media raw data and the used the unnest_tokens() function in tidytext
This picture shows the words with the highest frequency appearing in the social media dataset.
This is a word cloud made with the top joyful words in the dataset.
I performed sentiment analysis on the dataset by using a sentiment lexicon and joining that with my dataset. Then I ordered the dataset by highest frequency. Here are the top joyful words appearing in my social media dataset.
I used sentiment analysis to create this word cloud containing the top appearing negative and positive words from the dataset.