48 lines
1.3 KiB
JavaScript
48 lines
1.3 KiB
JavaScript
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/* Text analyzer (compromise) */
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var dialog = [
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'The fox hunts the egg,',
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'Do you know how old the earth is?',
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'I like gray roses',
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'Do you dream neon black and think about it?' ,
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'The opera about richard nixon visiting china',
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'Where am I?',
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'Where do I live?',
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'I like roses wherever they grow',
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'Who are you?',
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'How old are you?',
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'I want to go to the stadion. Show me the way.',
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'Please, show me the way to the stadion',
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'I am on the way',
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]
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var parsers = dialog.map(function (sentence) { return nlp(sentence) });
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parsers[0].verbs().toNegative();
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print(dialog[0],parsers[0].text());
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var classification=[];
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for(var i=0;i<dialog.length;i++)
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classification.push([dialog[i],
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parsers[i].nouns().text(),
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parsers[i].pronouns().text(),
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parsers[i].verbs().text(),
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parsers[i].adverbs().text(),
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parsers[i].adjectives().text(),
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parsers[i].conjunctions().text(),
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parsers[i].prepositions().text()]);
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Table(classification,
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['Dialog','Nouns','Pronouns','Verbs','Adverbs','Adjectives',
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'Conjunctions','Prepositions']);
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print(dialog[6],parsers[6].has('where * #Pronoun'))
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parser=nlp('Where are you?'); locate=parser.has('where * #Pronoun');
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person=parser.pronouns().has('I')?'You':
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parser.pronouns().has('you')?'I':
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parser.nouns().first().text();
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print(locate,person);
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