/Social-Network-Analysis-on-Twitter

Web application for Social Network Analysis of Twitter

Primary LanguageR

Social-network-analysis-on-Twitter

The methodology used is as follows:

  1. Retrieve the data from twitter regarding a particular topic
  2. Perform the pre-processing steps on the text data, which involves removing of URLs, typecasting, removing stop words etc.
  3. Create a term-document matrix to visualize the counts of words.
  4. Create a word cloud of the words to represent the dominance of words
  5. Use different libraries in R to perform sentiment analysis on the tweets
  6. Rate the tweets on 10 emotional polarities and represent in the form of a Histogram

I have taken a lot of inspiration and code from https://www.youtube.com/channel/UCuWECsa_za4gm7B3TLgeV_A :)