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Twitter Search - Most happening thing right now
Posted on June 15th, 2009 1 commentThe best search for me is not google nor yahoo but it’s twitter search (Twitter Search).Use it and you will realize why it’s so popular.This weekend I wanted to develop something using twitter search and developed some application on Silverlight for twitter.
We can use this ulr to get search results for twitter
http://search.twitter.com/search.atom?q=”query string”
It’s still incomplete. I need to provide admin module where I want user to put their search preferences and email ID so that whenever some updates come to twitter it should crawl the link given in twitter and send the crawled information to them on email.
I will blog the entire thing once it’s complete. Till then have a look at the twitter which I have developed.
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Spell correct in python
Posted on June 13th, 2009 No commentsI was in need of getting a spell checker for words. I found really a good one at
Here. . Here is the codeimport re, collectionsdef words(text): return re.findall('[a-z]+', text.lower())
def train(features):
model = collections.defaultdict(lambda: 1)
for f in features:
model[f] += 1
return modelNWORDS = train(words(file('big.txt').read()))
alphabet = 'abcdefghijklmnopqrstuvwxyz'
def edits1(word):
s = [(word[:i], word[i:]) for i in range(len(word) + 1)]
deletes = [a + b[1:] for a, b in s if b]
transposes = [a + b[1] + b[0] + b[2:] for a, b in s if len(b)>1]
replaces = [a + c + b[1:] for a, b in s for c in alphabet if b]
inserts = [a + c + b for a, b in s for c in alphabet]
return set(deletes + transposes + replaces + inserts)def known_edits2(word):
return set(e2 for e1 in edits1(word) for e2 in edits1(e1) if e2 in NWORDS)def known(words): return set(w for w in words if w in NWORDS)
def correct(word):
candidates = known([word]) or known(edits1(word)) or known_edits2(word) or [word]
return max(candidates, key=NWORDS.get) -
TukLuk
Posted on June 13th, 2009 No commentsI have recently created a application to Crawl and download songs from internet. I am very happy that I am getting more users and they are very happy about the songs search which i have implemented. Like you can search for “Kaho na pyar hai” or “kahoo naa pyaar hai” both will return the same results. This algorithm works on the pronunciation of words. You can download the TukLuk client from TukLuk .