📋 المحتوى المنظم
📖 محتوى تعليمي مفصّل
نوع: محتوى تعليمي
word in model_wv] # ignores words that are not in the Word2Vec model
sentence_score=0 # the score of the sentence
for word in sentence_words: # for each word in the sentence
word_comm=word_to_community[word] # get the community of this word
sentence_score+= community_scores[word_comm] # add the score of this
community to the sentence score.
scored_sentences.append((sentence_score, raw_sent)) # stores this sentence and
its total score
# scores the sentences by their score, in descending order
scored_sentences=sorted(scored_sentences,key=lambda x:x[0],reverse=True)
return scored_sentences
scored_sentences=evaluate_sentences(text,word_to_community,community_
scores,model_wv)
len(scored_sentences)
نوع: METADATA
61
نوع: محتوى تعليمي
يتضمن المستند الأصلي إجمالي 61 جملة، ويُستخدم المقطع البرمجي التالي للعثور على الجمل الثلاثة الأكثر أهمية من بين هذه الجمل:
نوع: محتوى تعليمي
for i in range(3):
print(scored_sentences[i],'\n')
نوع: محتوى تعليمي
(3368, 'Lionel Messi not only emulated the deity of Argentinian football, Diego Maradona, by leading the nation to World Cup glory; he finally plugged the burning gap on his CV, winning the one title that has eluded him - at the fifth time of asking, surely the last time.')
نوع: محتوى تعليمي
(2880, 'He scored twice in 97 seconds to force extra-time; the first a penalty, the second a sublime side-on volley and there was a point towards the end of regulation time when he appeared hell-bent on making sure that the additional period would not be needed.')
نوع: محتوى تعليمي
(2528, 'It will go down as surely the finest World Cup final of all time, the most pulsating, one of the greatest games in history because of how Kylian Mbappé hauled France up off the canvas towards the end of normal time.')
نوع: METADATA
وزارة التعليم
Ministry of Education
181
2025 - 1447
🔍 عناصر مرئية
وزارة التعليم
Logo of the Ministry of Education with text '181' and years '2025 - 1447' below it.
📄 النص الكامل للصفحة
word in model_wv] # ignores words that are not in the Word2Vec model sentence_score=0 # the score of the sentence for word in sentence_words: # for each word in the sentence word_comm=word_to_community[word] # get the community of this word sentence_score+= community_scores[word_comm] # add the score of this community to the sentence score.scored_sentences.append((sentence_score, raw_sent)) # stores this sentence and its total score# scores the sentences by their score, in descending order scored_sentences=sorted(scored_sentences,key=lambda x:x[0],reverse=True)return scored_sentences scored_sentences=evaluate_sentences(text,word_to_community,community_
scores,model_wv)
len(scored_sentences)يتضمن المستند الأصلي إجمالي 61 جملة، ويُستخدم المقطع البرمجي التالي للعثور على الجمل الثلاثة الأكثر أهمية من بين هذه الجمل:for i in range(3):
print(scored_sentences[i],'\n')(3368, 'Lionel Messi not only emulated the deity of Argentinian football, Diego Maradona, by leading the nation to World Cup glory; he finally plugged the burning gap on his CV, winning the one title that has eluded him - at the fifth time of asking, surely the last time.')(2880, 'He scored twice in 97 seconds to force extra-time; the first a penalty, the second a sublime side-on volley and there was a point towards the end of regulation time when he appeared hell-bent on making sure that the additional period would not be needed.')(2528, 'It will go down as surely the finest World Cup final of all time, the most pulsating, one of the greatest games in history because of how Kylian Mbappé hauled France up off the canvas towards the end of normal time.')2025 - 1447--- VISUAL CONTEXT ---Context: Page metadata/publisher information.