Exemple #1
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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 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
Exemple #3
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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
Exemple #4
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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
Exemple #5
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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
Exemple #6
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def text_tab(document):
    tab = Tab('Text', 'documents/text')
    tab.add(plain_text_widget(document))
    return tab
Exemple #7
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def similar_documents_tab(request, analysis, document):
    tab = Tab("Similar Documents", 'documents/similar_documents')
    tab.add(similar_documents_widget(request, analysis, document))
    return tab
Exemple #8
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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