Using user data from Experience Project website to uncover association patterns among trendy topics
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Updated
Sep 10, 2015 - R
Using user data from Experience Project website to uncover association patterns among trendy topics
Creates word clouds from political party manifestos
Nuage de mots (projet deuxième année ISIMA)
Utility to build a word cloud from a set of Disqus comments
[ISIMA2] Word cloud and random sentences generation
☁️ make a word cloud out of a text file ☁️
API - extract a list of keywords from a text.
API that would allows developers to easily generate word clouds. This was a fun project to make because it required an extensive math knowledge and pushed my technical ability to the next level implementing and learning algorithms to make my tool more efficient.
This project aims at bringing most of the text processing tasks at a single place.
Understanding Big Data Analytics by using Map Reduce for performing various tasks like Blooms Filter, Frequent Itemset, KMeans, Matrix Multiplication, Finding Maximum Temperature, Finding Word Count, and Analyzing Electricity Consumption
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.
Text-Mining of IMDB top 50 movies data, Movie Description (plot)
Third lab for course of "Components of software engineering"
Sentiment Analysis on tweets by the candidates for 2016 presidential election
Amazon Review Analysis with D3js, BootStrap, and CSS3
An NPM package to generate Word Cloud from your code base.
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."