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Reddit Controversiality Analysis

Initial Attempts to read Data

Uncompressed:

json_to_sql

Compressed:

Read_DF_SQLite

PySpark Jupyter Integration

demo: spark

Part of this project utilizes PySpark and embedding of it into a Jupyter environment.

Requirements

Java 7+ Python 2.6+ Apache Spark 3.0 Hadoop 2.7 Winutils.exe for Hadoop 2.6 Configure SPARK_HOME and HADOOP_HOME as system variables, and add them to Path

Run PySpark Instance

To help Jupyter Lab* bind to spark you can use findspark library.

Option 2: Drive PySpark with Jupyter

To automatically open in Jupyter on startup add these system variables:

  • set PYSPARK_DRIVER_PYTHON to jupyter
  • set PYSPARK_DRIVER_PYTHON_OPTS to ‘lab’

In-cell SQL

Insert the functions from here

New Data: Big Query Extraction

reddit-data-prep

EDA

eda_vinay_controversial csv_analysis

Controversiality Analysis

one month data three month data

Controversiality Prediction

log_reg_controversy

Reddit Dataset 1

This dataset contains comments from Reddit.com, as collected by Reddit user Stuck_In_The_Matrix. One torrent per year, going from 2005 to 2017 (the last one is of course incomplete). Downloaded from https://files.pushshift.io/comments. Example code for working with the dataset can be found @ https://github.com/dewarim/reddit-data-tools Intened use is for scientific / non-commercial purposes.

Reddit Dataset 2

This dataset contains is three months of big query data from r/worldnews