Added the Chinese word count function, but did not pass the other language test.

A few algorithm demonstrations of apache hadoop mapreduce

Counts how many times a word appears in a .txt file with efficiency and speed in mind. It can handle .txt files of various gigabytes. It uses a MapReduce structure without the use of external libraries.

A handly tool to count the corporate jargons used in a given text & give detailed report of their (mis-)use

Análisis de palabras y ngrams de 500 discursos del Presidente Macri. Visualización de los discursos y los valores del dólar.

Scrape comments from websites for market research

Scrape comments from any Youtube video

Just some misc python scripts, mainly for practice and learning

In this we have used the PIG Latin to count the each word

MapReduce Program : To count the number of words for the input text file. Used HashMap collection.

Various types of projects I have created

FlinkWordCount

MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key. Many real-world tasks…

Some samples to understand how hadoop works

Scala implementation of a distributed word count algorithm for files that are not fitting in memory.

Made word counter using React and vercel for live .

Creates output files containing word counts and P.O.S. Tag distribution using Stanford's Core NLP library

Wordcount example using Spark with Scala

Flink window word count example in Clojure