1 files changed, 53 insertions, 0 deletions
diff --git a/pyaggr3g470r/compare.py b/pyaggr3g470r/compare.py
new file mode 100644
index 00000000..26ac57ab
--- /dev/null
+++ b/pyaggr3g470r/compare.py
@@ -0,0 +1,53 @@
+#! /usr/bin/env python
+#-*- coding: utf-8 -*-
+
+import itertools
+import nltk, string
+from sklearn.feature_extraction.text import TfidfVectorizer
+
+import utils
+
+# tokenizers/punkt/english.pickle
+
+
+stemmer = nltk.stem.porter.PorterStemmer()
+remove_punctuation_map = dict((ord(char), None) for char in string.punctuation)
+
+def stem_tokens(tokens):
+    return [stemmer.stem(item) for item in tokens]
+
+def normalize(text):
+    """
+    Remove punctuation, lowercase, stem
+    """
+    return stem_tokens(nltk.word_tokenize(text.lower().translate(remove_punctuation_map)))
+
+vectorizer = TfidfVectorizer(tokenizer=normalize, stop_words='english')
+
+def cosine_sim(article1, article2):
+    try:
+        tfidf = vectorizer.fit_transform([utils.clear_string(article1.content),
+                                        utils.clear_string(article2.content)])
+    except ValueError as e:
+        raise e
+    return ((tfidf * tfidf.T).A)[0,1]
+
+
+def compare_documents(feed):
+    """
+    Compare a list of documents by pair.
+    """
+    nltk.download("punkt")
+    duplicates = []
+    for pair in [(elem[0], elem[1]) for elem in itertools.product(feed.articles, repeat=2) 
+                    if elem[0].id != elem[1].id]:
+        try:
+            result = cosine_sim(*pair)
+            if abs(result.item() - 1.0) < 1e-10:
+                duplicates.append(pair)
+                #print pair[0].id, pair[0].title, pair[0].link
+                #print pair[1].id, pair[1].title, pair[1].link
+                #print
+        except ValueError:
+            continue
+    return duplicates
+\ No newline at end of file