本文整理汇总了TypeScript中natural.WordTokenizer类的典型用法代码示例。如果您正苦于以下问题：TypeScript WordTokenizer类的具体用法？TypeScript WordTokenizer怎么用？TypeScript WordTokenizer使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了WordTokenizer类的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的TypeScript代码示例。
示例1: createTokens
function createTokens(text: string): Array<string> {
const tokenized: Array<string> = tokenizer.tokenize(text);
const biGrams = NGrams.ngrams(tokenized, 2).map((words) => words.join(' '));
const triGrams = NGrams.ngrams(tokenized, 3).map((words) => words.join(' ')) as Array<string>;
const ngrams: Array<string> = _.flatten(tokenized.concat(biGrams, triGrams)) as Array<string>;
const allPhrases = ngrams.map(phrase => phrase.toLowerCase());
return allPhrases;
}示例2: getLocationConfidence
export function getLocationConfidence(text: string, searchLocation: string): number {
let matchingCities = _.map(locations, (subLocations, key) => {
// console.log(subLocations);
return _.map(subLocations, (cities) => {
// console.log(cities, searchLocation);
const normalizedCities: Array<string> = cities.map(city => city.toLowerCase());
return _.includes(normalizedCities, searchLocation.toLowerCase()) ? normalizedCities : null;
});
});
const cityList = _.compact(_.flattenDeep<string>(matchingCities) as Array<string>);
const allPhrases = createTokens(text);
const matchingPhrase = _.intersection(allPhrases, cityList);
const textTokenized: Array<string> = tokenizer.tokenize(text);
const locationTokenized = tokenizer.tokenize(matchingPhrase[0]);
return locationTokenized.length / textTokenized.length;
}示例3: grabTopics
export function grabTopics(text: string): Promise<Intent> {
const datesCompacted = runThroughClassifiers(text, dateClassifiers);
const datesGrouped = _.groupBy(datesCompacted, 'topic');
const specials = _.compact(tokenizer.tokenize(text).filter(token => !isNaN(parseInt(token, 10))));
const intent: Intent = {
action: null,
details: {
dates: _.mapValues(datesGrouped, (classifications: Array<Classification>) => classifications.map(classification => _.startCase(classification.label))),
specialWords: specials,
locations: locatonExtractor(text),
},
topic: 'details',
};
// if (this && this.debugOn) { console.log('details intent', util.inspect(intent, { depth: null })); };
return Promise.resolve(intent);
}