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.

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

Homework assignments for CS657 mining massive datasets. Assignments are in Spark and Hadoop using the Python API. Assignments include wordcount stuff, association rule mining, linear regression, and recommender systems.

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

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

MapReduce in Cluster.

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

Hashtag analysis with data from Twitter(2020).

This repository contains solutions to common mapper and reducer problems in Hadoop using Python