def keywords(self):
if self.keyword_cache_time and self.keyword_cache_time < self.updated:
return self.keyword_cache.split(";")
else:
text = (clip.caption_text for clip in self.clip_set.all())
keywords, ngrams = keywords_and_ngrams(text)
keywords = map(lambda kw_ll: kw_ll[0], filter(lambda kw_ll: kw_ll[1] > LL_THRESHOLD, keywords))
ngrams = map(lambda ng: u" ".join(ng[0]), ngrams)
keywords.extend(ngrams)
self.keyword_cache = u";".join(keywords)
self.keyword_cache_time = timezone.now()
self.save()
return keywords
def keywords(self):
if self.keyword_cache_time and self.keyword_cache_time < self.updated:
return self.keyword_cache.split(';')
else:
text = (clip.caption_text for clip in self.clip_set.all())
keywords, ngrams = keywords_and_ngrams(text)
keywords = map(lambda kw_ll: kw_ll[0],
filter(lambda kw_ll: kw_ll[1] > LL_THRESHOLD, keywords))
ngrams = map(lambda ng: u' '.join(ng[0]), ngrams)
keywords.extend(ngrams)
self.keyword_cache = u';'.join(keywords)
self.keyword_cache_time = timezone.now()
self.save()
return keywords
def keywords(request, track_id):
track = get_object_or_404(Track, pk=track_id)
item = track.item
text = (clip.caption_text for clip in track.clip_set.all())
kw, ngrams = keywords_and_ngrams(text)
def keyword_html(sorted_x):
tags = ""
for (word, ll) in sorted_x[0:100]:
# Word size determined by log likelihood
# only using 5 classes but we could follow wikipedia tag cloud equation
# using tmax and tmin to determine the classes, ignored at the moment
# until we know what we want as output
size = int(ll / 20)
if size > 4:
size = 4
tags += '<a href="#" class="tag c{}">{}</a> '.format(size, word)
return tags
def ngram_html(ngrams):
tags = ""
# scale = max(n for _, n in ngrams) if ngrams else 0
for ((w1, w2), n) in reversed(ngrams):
size = 4 # 4 * int(n / scale)
tags += '<a href="#" class="tag c{}">{} {}</a> '.format(
size, w1, w2)
return tags
return render(
request, 'spindle/keywords.html', {
'title': u"Keywords: '{}'".format(item.name),
'item': item,
'track': track,
'keywordblock': keyword_html(kw),
'ngramblock': ngram_html(ngrams),
'oxitems_keywords': item.keywords
})
def keywords(request, track_id):
track = get_object_or_404(Track, pk=track_id)
item = track.item
text = (clip.caption_text for clip in track.clip_set.all())
kw, ngrams = keywords_and_ngrams(text)
def keyword_html(sorted_x):
tags = ""
for (word, ll) in sorted_x[0:100]:
# Word size determined by log likelihood
# only using 5 classes but we could follow wikipedia tag cloud equation
# using tmax and tmin to determine the classes, ignored at the moment
# until we know what we want as output
size = int(ll / 20)
if size > 4:
size = 4
tags += '<a href="#" class="tag c{}">{}</a> '.format(size, word)
return tags
def ngram_html(ngrams):
tags = ""
# scale = max(n for _, n in ngrams) if ngrams else 0
for ((w1, w2), n) in reversed(ngrams):
size = 4 # 4 * int(n / scale)
tags += '<a href="#" class="tag c{}">{} {}</a> '.format(size, w1, w2)
return tags
return render(request, 'spindle/keywords.html', {
'title': u"Keywords: '{}'".format(item.name),
'item': item,
'track': track,
'keywordblock': keyword_html(kw),
'ngramblock': ngram_html(ngrams),
'oxitems_keywords': item.keywords
})
