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https://github.com/JherezTaylor/Datamining-Reddit

Analyze and construct a data mining project using public Reddit comments from May 2015.
https://github.com/JherezTaylor/Datamining-Reddit

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Analyze and construct a data mining project using public Reddit comments from May 2015.

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# Datamining Final project: Mining Reddit comments

The aim is to analyze and construct a data mining project using public Reddit

comments from May 2015.The dataset can be found

[here.](https://www.kaggle.com/c/reddit-comments-may-2015)



The task is to study the dataset and prepare a proposal of what knowledge you

plan to extract from this dataset using a data-minng technique.

The proposal must then be implemented along with a report of the analysis,

techniques, methodology, evaluation and results.



The approach here is to find communities within and across subreddits.



## Setup



You will first need to do the following



    git clone https://github.com/JherezTaylor/Datamining-Reddit.git

    Download the dataset from the link above

    Create a folder redditComm/subreddit_dumps and move database.sqlite there

    Create a folder redditComm/subreddit_dumps/json



### Extracting the subreddit data



To extract and convert the entire dataset to a castra file



You will need to do the following. **Warning** This will generation 20+GB of

files to redditComm/subreddit_dumps/json

Each file is a json object of an entire subreddit. It is hacky

but it is necessary to first extract the entire sqlite db, merge the subreddits

into one file then convert it to a castra. The reason for this is that the db

can't fit in memory (unless you have 30GB of ram lying around) and so it's not

possible to extract it all in one query. It's implemented using the

multiprocessing module from python.



Now, the query will hang at 36,025 out of 50,138 subreddits. Not sure exactly

why this happens but the entire process takes a few hours before it hangs,

always at the same subreddit 'zzzz' and the same number of files, 36,025. So

guess what? More hacky workarounds. The script accepts the list of subreddits as

an argument, just the name of the file without the extension. On the first run

call the script from redditComm/utils



    python extract_fulldb.py subreddit_list



Go drink some coffee and read a book. When the script hangs, close the terminal

and then from the same folder as before run:



    python salvage_extract.py



This will look in the folder where we are dumping the subreddits, check the

contents and compares it the master list of subreddits to see what's missing.

It generates a new json list for us to continue from. Now go and run the extract

again, this time passing the newly generated file as the argument. Both these

files are in the repo so you don't need to run the salvage module but it's there

redditComm/utils if you need it.



    python extract_fulldb.py unprocessed_list



*Update* It fails a few times, there might be an issue with the multiprocessing

pool running into some overhead somewhere. Run extract again if it fails and repeat

the process above.



You can delete the files in redditComm/subreddit_dumps/json

and the merged json file when the script completes.



If you want to extract a given subreddit for use elsewhere then from within

the redditComm/utils do



    python extract_subreddit.py subreddit_name output_format



Currently the argument accepts *json* or *pickle* and any subreddit can be

extracted. Output goes to



    redditComm/subreddit_dumps

Example



    python extract_subreddit.py nba json



### Running the entire project

You need to be under Linux to run this, you can do it in Windows but setting

up the required packages won't be covered here.



You should have python pip already installed. Create a virtual environment by

opening a terminal and doing



    pip install virtualenv

    cd redditComm

    virtualenv venv



To begin using the virtual environment, it needs to be activated



    source venv/bin/activate



#### Install the requirements

Before you install requirements.txt you may need to do



    sudo apt-get install libpng-dev libfreetype6-dev graphviz libhdf5-dev libatlas-base-dev gfortran



Then



    cd .. *up to the root folder of the repo*

    pip install -r requirements.txt

    You may need to do pip install dask[complete]



Okay so we should be good to go. Create your scripts and add them to

redditComm/modules. Follow the structure of the existing files. Import modules

to *run.py*, create a method and load a function of your module there. Call the

created method to run at start.



Run with



    python run.py