1. Miki Tebeka
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pythonwise / summarize.py

#!/usr/bin/env python
'''Ultra simple summarizer'''

# Algorithm:
# 1. For each word, caluclate it's frequency in the document
# 2. For each sentence in the document 
#       score(sentence) = sum([freq(word) for word in sentence])
# 3. Print X top sentences such that their size < MAX_SUMMARY_SIZE
# See http://en.wikipedia.org/wiki/Sentence_extraction for more

__author__ = "Miki Tebeka <miki.tebeka@gmail.com>"
__all__ =  [ "summarize" ]

from collections import defaultdict
from itertools import repeat
import re


def tokenize(text):
    '''Very simple white space tokenizer, in real life we'll be much more
    return text.split()

def split_to_sentences(text):
    '''Very simple spliting to sentences by [.!?] and paragraphs.
    In real life we'll be much more fancy.
    sentences = []
    start = 0

    # We use finditer and not split since we want to keep the end
    for match in re.finditer("(\s*[.!?]\s*)|(\n{2,})", text):
        start = match.end()

    if start < len(text):

    return sentences

def token_frequency(text):
    '''Return frequency (count) for each token in the text'''
    frequencies = defaultdict(repeat(0).next)
    for token in tokenize(text):
        frequencies[token] += 1

    return frequencies

def sentence_score(sentence, frequencies):
    return sum((frequencies[token] for token in tokenize(sentence)))

def create_summary(sentences, max_length):
    summary = []
    size = 0
    for sentence in sentences:
        size += len(sentence)
        if size >= max_length:

    return "\n".join(summary)

def summarize(text, max_summary_size=MAX_SUMMARY_SIZE):
    frequencies = token_frequency(text)
    sentences = split_to_sentences(text)
    sentences.sort(key=lambda s: sentence_score(s, frequencies), reverse=1)
    summary = create_summary(sentences, max_summary_size)

    return summary

if __name__ == "__main__":
    text = '''
    Turkey has recalled its ambassador to Sweden after the Swedish Parliament
    voted to describe Turkey's killings of Armenians in World War I as

    The Swedish vote came despite the Swedish government's opposition to the
    resolution, as several parliament members crossed party lines in the vote,
    which passed the resolution by a vote of 131-130, with 88 parliament members
    absent. The Swedish government called the vote a "mistake," but added that
    it will not influence their position on the matter. The Turkish government
    released a statement saying, "our people and our government reject this
    decision based upon major errors and without foundation," and Prime Minister
    Tayyip Erdogan immediately cancelled a planned visit to Sweden. Despite the
    reaction, Turkey said that the moves did "not correspond to the close
    friendship of our two nations," and they were only recalling their
    ambassador for consultations.

    The resolution is particularly sensitive given that Sweden has long been a
    strong supporter of Turkey and their bid to join the European Union, and
    Turkey has been for years maintaining that their actions in World War I
    against Armenians did not amount to genocide. Despite Turkey's claims,
    Armenians have been heavily campaigning for the killings to be recognized as
    genocide, and many countries worldwide have done so.

    Swedish Foreign Minister Carl Bildt said that the vote would likely have a
    significant effect on the fate of negotiations between Turkey and Armenia,
    which have been attempting to resume normal diplomatic relations since last
    year. The Turkish ambassador that was recalled said that the vote would have
    "drastic effects" on the negotiations, and it would have an impact for some

    The Swedish vote came not long after a similar vote by a US Congressional
    panel, which also approved a resolution with similar terminology, leading to
    the removal of Turkey's ambassador. In that case, the US government has been
    trying to prevent the resolution from going further, in an attempt to limit
    the consequences of the vote.'''

    print summarize(text)