def extra_information_tab(request, topic, topic_url):
tab = Tab("Extra Information", 'topics/extra_information')
tab.add(metrics_widget(topic))
tab.add(metadata_widget(topic))
tab.add(top_documents_widget(topic, topic_url))
tab.add(top_values_widget(request, topic))
return tab
def words_tab(analysis, word, word_url, images_url):
tab = Tab('Word Information', 'words/word_information')
tab.add(top_documents_widget(analysis.dataset, word))
tab.add(top_topics_widget(analysis, word))
tab.add(total_count_widget(word))
tab.add(word_in_context_widget(word, word_url, images_url))
return tab
def attribute_info_tab(analysis, attribute, value, analysis_url, attributes_url):
tab = Tab('Attribute Information', 'attributes/attribute_info')
token_count = attribute.attributevalue_set.get(value=value).token_count
words = get_words(attribute, value, attributes_url, token_count)
tab.add(metrics_widget(attribute, value, token_count))
tab.add(top_words_chart_widget(words))
tab.add(word_cloud_widget(words))
ngram_widget = ngram_word_cloud_widget(attribute, value, attributes_url, token_count)
if ngram_widget: tab.add(ngram_widget)
tab.add(topic_cloud_widget(analysis, attribute, value, analysis_url, token_count))
return tab
def similar_topics_tab(request, topic, name_scheme_name):
tab = Tab("Similar Topics", 'topics/similar_topics')
tab.add(similar_topic_list_widget(request, topic))
tab.add(topic_map_widget(topic, name_scheme_name))
return tab
def top_words_tab(topic, topic_url, images_url):
tab = Tab("Top Words", path='topics/top_words')
word_url = '%s/words/' % topic_url
topicwords = topic.topicword_set.filter(
word__ngram=False).order_by('-count')
words = []
for topicword in topicwords[:100]:
percent = float(topicword.count) / topic.total_count
w = WordSummary(topicword.word.type, percent)
w.url = word_url + topicword.word.type
words.append(w)
tab.add(word_chart_widget(words))
# tab.add(Widget('Word Cloud',content_html=unigram_cloud(words)))
tab.add(word_cloud_widget(words, title='Word Cloud'))
ttcloud = turbo_topics_cloud_widget(topic)
if ttcloud: tab.add(ttcloud)
ngcloud = ngram_cloud_widget(topic, word_url)
if ngcloud: tab.add(ngcloud)
tab.add(words_in_context_widget(images_url, words))
return tab
def text_tab(document):
tab = Tab('Text', 'documents/text')
tab.add(plain_text_widget(document))
return tab
def similar_documents_tab(request, analysis, document):
tab = Tab("Similar Documents", 'documents/similar_documents')
tab.add(similar_documents_widget(request, analysis, document))
return tab
def extra_information_tab(analysis, document):
tab = Tab("Extra Information", 'documents/extra_information')
tab.add(metrics_widget(document))
tab.add(metadata_widget(document))
tab.add(top_topics_widget(analysis, document))
return tab
