Classify messages as Spam or Ham using a simple Naive bayes classifier. After training the Model , next deployment of a web app build on shiny to filter text messages.
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Updated
Apr 4, 2018 - R
Classify messages as Spam or Ham using a simple Naive bayes classifier. After training the Model , next deployment of a web app build on shiny to filter text messages.
The NLPlay Platform is an interactive, web-based application that facilitates Danish text mining. It includes topic modeling, a word cloud generator, sentiment analysis, and the opportunity to explore semantic relationships among words predicted by a neural network model trained on the largest, existing Danish corpus. The NLPlay platform has bee…
Shiny app with an example of word cloud. See https://antoinesoetewey.shinyapps.io/word-cloud/
Using user data from Experience Project website to uncover association patterns among trendy topics
A short R script on that allows you to create a Word Cloud using particular keywords that occur in tweets
Scrape data from twitter and text mining & analysis using R packages. Tweets were collected with the label #nba and their content were clustered and analyzed.
A Text Analysis on Public Opinions of Stonehenge Road tunnel project (Stonehenge A303 Road Improvement Scheme)
Text-Mining of IMDB top 50 movies data, Movie Description (plot)
Original corpus of articles relating to refugees scraped from Tennessee newspaper The Chattanoogan along with simple code for text-as-data word cloud.
Collecting the lyrics of iron maiden's songs and making some wordclouds with it (praticing how to organize an R project).
Create wordclouds by entering text or uploading a file
Twitter data analysis in R language.
Add a description, image, and links to the word-cloud topic page so that developers can more easily learn about it.
To associate your repository with the word-cloud topic, visit your repo's landing page and select "manage topics."