☁️ htmlwidgets for D3js Word Cloud Layout

Out-of-the-box analysis and reporting tools for twitter

Complete Guide to text processing and sentiment analysis on Twitter data.

Plotting for text data

Project based on text mining:

This project uses Lexicon-based approach for sentimental analysis of 1000 recent tweets of 4 countries. A sentiment score for each tweet is computed to ascertain the overall nature of the tweet.

Visualization of iMessages between two people

R, TextMining, KakaoTalk

Identify topics to be discussed against presidential candidates Joko Widodo and Prabowo Subianto after the 2019 General Election on the Twitter platform

Scripts for processing and mining (classic) literature and other text data, such as screenplays

Shiny app with an example of word cloud. See https://antoinesoetewey.shinyapps.io/word-cloud/

R Website Analytics : Search term wordcloud ☁️ using RSiteCatalyst

Kickstart Data Science workshops: Lebaran theme

A personal project that explores the text mining capabilities of the (tm) package in R

Importing and analyzing Twitter Data with R. Conencting to Twitter, Importing Data, Cleaning and Analyzing the Tweets.

Useful material about my Bachelor Thesis - Advanced Text Mining with R

Shiny application to create a wordcloud from a text

(Shiny App) generates wordclouds from tweets for presidential candidates during NH primary

Demo on using the Rfacebook package to scrape/mine user generated contents (UGCs) from public FB pages. Simple sentiment, text, trend and posting frequency analysis are performed on these scraped UGCs