semvec/pypi-packages huggingface dataset:
ffscraper 0.2.0
Yet another set of scraping tools for FanFiction.Net
License: Apache License, Version 2.0
Keywords: fanfiction scraping search

# Collaborative Filtering in FanFiction Networks

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ffscraper.svg?style=flat-square) ![PyPI](https://img.shields.io/pypi/v/ffscraper.svg?style=flat-square) ![license](https://img.shields.io/pypi/l/ffscraper.svg?style=flat-square)

"ffscraper" Yet another set of scraping tools for FanFiction.Net

**Alexander L. Hayes** ([@batflyer](https://github.com/batflyer))

### Installation

`pip install ffscraper`

Requires: `bs4`, `requests`

### Background

FanFiction.Net was established in 1998 and is among the world's largest collection of user-submitted fanfiction (works of fiction authored by fans of existing stories, such as movies, books, or TV shows). The large amount of easily-available user content has drawn interest from those interested in analyzing the content and creative differences between original works and their fanfiction derivatives [1]. More recently, [2] created an anonymized dataset of the metadata from fanfiction sources.

This repository's purpose is twofold: creating robust open-source tools for scraping content, and using that content to build open-source systems which can be used by the FanFiction.Net community.

### References

* [1] Milli, Smitha and David Bamman, "Beyond Canonical Texts: A Computational Analysis of Fanfiction." Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing.
* [2] Yin, K., Aragon, C., Evans, S. and Katie Davis. "Where No One Has Gone Before: A Meta-Dataset of the World's Largest Fanfiction Repository." Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017.

### Attribution

* This was originally part of a final project for Professor Vibhav Gogate's Spring 2018 [Advanced Machine Learning](http://www.hlt.utdallas.edu/~vgogate/ml/2018s/index.html) class at the University of Texas at Dallas. This version of the code, TeX, and .pdf are tagged as v0.1.0.
* [monochrome](https://github.com/dyutibarma/monochrome) is a Jekyll theme by [@dyutibarma](https://github.com/dyutibarma/). Used under the terms of the [MIT License](https://github.com/dyutibarma/monochrome/blob/master/license.md).