# html-to-freq-4.py
import dh
# create sorted dictionary of word-frequency pairs
url = 'http://www.biographi.ca/EN/ShowBioPrintable.asp?BioId=34298'
# url = 'file:///C:/Documents%20and%20Settings/HP_Administrator/Desktop/ProgrammingHistorian/dcb-34298.html'
text = dh.webPageToText(url)
fullwordlist = dh.stripNonAlphaNum(text)
wordlist = dh.removeStopwords(fullwordlist, dh.stopwords)
dictionary = dh.wordListToFreqDict(wordlist)
sorteddict = dh.sortFreqDict(dictionary)
# create Google search link
keywords = []
for k in sorteddict[0:5]:
keywords.append(str(k[1]))
gsearch = dh.keywordListToGoogleSearchLink(keywords, 'Google Search n=5')
# compile dictionary into string and wrap with HTML
outstring = gsearch + "<br /><br />"
for s in sorteddict:
outstring += str(s)
outstring += "<br />"
dh.wrapStringInHTML("html-to-freq-4", url, outstring)
# html-to-kwic-2.py
import dh
# create dictionary of n-grams
n = 7
url = 'file:///C:/Documents%20and%20Settings/HP_Administrator/Desktop/ProgrammingHistorian/dcb-34298.html'
# url = 'http://www.biographi.ca/EN/ShowBioPrintable.asp?BioId=34298'
text = dh.webPageToText(url)
fullwordlist = ('# ' * (n//2)).split()
fullwordlist += dh.stripNonAlphaNum(text)
fullwordlist += ('# ' * (n//2)).split()
ngrams = dh.getNGrams(fullwordlist, n)
worddict = dh.nGramsToKWICDict(ngrams)
# output KWIC and wrap with HTML
target = 'iroquois'
outstr = '<pre>'
if worddict.has_key(target):
for k in worddict[target]:
linkname = dh.prettyPrintKWIC(k)
keywords = dh.removeStopwords(k, dh.stopwords)
outstr += dh.keywordListToGoogleSearchLink(keywords, linkname)
# outstr += '<br />'
else:
outstr += 'Keyword not found in source'
outstr += '</pre>'
dh.wrapStringInHTML('html-to-kwic-2', url, outstr)