User:Lidia.Pereira/SDR/SF

The idea of generating slash fiction from RSS feeds brings into play ideas of promiscuity as deeply connected to power structures.

Small mockup for RSS feed slash fiction:

French Foreign Minister Laurent Fabius muttered quietly that some EU sanctions on Iran could be lifted next month, as part of a nuclear deal with world powers. "What?" Japan PM Shinzo Abe asked, while smoothly caressing his partner's nipples. Ukrainian President Viktor Yanukovych sat on a couch, with both sitting either side of him kissing his neck, each with one hand stroking his inner thighs. Meanwhile, in the room next door, Prince Harry claimed his brother the Duke of Cambridge is "jealous" of his charity trek to the South Pole. To blow off some steam, he begins to stroke the large bulge he found in Angela Merkel's trousers.

First Experiences:

import feedparser, pickle, nltk
from nltk.corpus import PlaintextCorpusReader

url = "http://feeds.bbci.co.uk/news/rss.xml"
searchwords= ["president","minister","cameron","presidential","european","obama","angela","barroso","pm","chancellor"]
rawFeed = feedparser.parse(url)

def convert (humpty):
    tokens = nltk.word_tokenize(humpty)
    return nltk.Text(tokens)

superSumario = " "
for i in rawFeed.entries:
    sumario = i["summary"].lower()
    for w in searchwords:
        if w in sumario.strip():
            superSumario = superSumario + sumario
            out = (open("filtertest.txt", "w"))
            pickle.dump(superSumario,out) 

textrss = open('filtertest.txt').read()
textslash = open('harrypotterslash.txt').read()

both = textrss.strip() + textslash.strip()
puff = convert(both)
herpDerp = str(puff.generate(300))
print herpDerp.strip()

Small extract from the result:
David cameron's panties which were becoming damp and got wetter with every slow movement . Tentatively he moved the lacy fabric aside and his mind drifted and it was Harry she was after " and "Great game Ron " as they passed in the glasgow helicopter crash both feature . david cameron's whole body shivered with pleasure.

Most Successful So Far:

import feedparser, pickle, nltk
import re, random

url = "http://feeds.bbci.co.uk/news/rss.xml"
searchwords= ["president","minister","cameron","presidential","obama","angela","barroso","pm","chancellor"]
rawFeed = feedparser.parse(url)

def convert (humpty):
    tokens = nltk.word_tokenize(humpty)
    return nltk.Text(tokens)

superSumario = " "
for i in rawFeed.entries:
    sumario = i["summary"].lower()
    for w in searchwords:
        if w in sumario.strip():
            superSumario = superSumario + sumario
            out = (open("afiltertest.txt", "w"))
            pickle.dump(superSumario,out) 

textrss = open('afiltertest.txt').read()
textslash = open('harrypotterslash.txt').read()

names = re.compile(r"[a-z]\s([A-Z]\w+)")
pi = names.findall(textslash)
lista = []

for name in pi:
    if name not in lista:
        lista.append(name)

variavel = ""

for name in lista:
    variavel = variavel + name + "|"
    
ze = "(" + variavel.rstrip ("|") + ")"
nomes = re.compile(ze)

office1 = re.compile(r"(president\s.\w*.\w*)")
office2 = re.compile(r"(minister\s.\w*.\w*)")
office3 = re.compile(r"(chancellor\s.\w*.\w*)")
repls = office1.findall(textrss) + office2.findall(textrss) + office3.findall(textrss)

def r(m):
    return random.choice(repls)

yes = nomes.sub(r,textslash)

both = yes.strip() + textrss.strip()
puff = convert(both)
herpDerp = puff.generate(500)

"minister david cameron leads politicians in tributes to the common room if you want to just. Suddenly a wild thought entried his head and thoughts of lay beneath them. Every now and then handed them to acknowledge president sepp blatter said minister david cameron reached the bottom of the ladder and only looked to see were he was not always looked upon as favourably by the british political establishment.in the course of making a two-part bbc profile of angela merkel put her panties down , which soon lay disguarded on the floor simultaneously."