How to use @microsoft/recognizers-text-sequence - 10 common examples
To help you get started, we’ve selected a few @microsoft/recognizers-text-sequence examples, based on popular ways it is used in public projects.
Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.
BotBuilderCommunity / botbuilder-community-js / libraries / botbuilder-dialog-prompts / src / email.ts View on Github 
protected async onRecognize(context: TurnContext, state: any, options: PromptOptions): Promise> {
const result: PromptRecognizerResult = { succeeded: false };
const activity: Activity = context.activity;
const utterance: string = activity.text;
const locale: string = activity.locale || this.defaultLocale || 'en-us';
const results = recognizers.recognizeEmail(utterance, locale);
if (results.length > 0 && results[0].resolution != null) {
try {
result.succeeded = true;
result.value = results[0].resolution.value;
}
catch(e) {
console.log(e);
}
}
return result;
}
}protected async onRecognize(context: TurnContext, state: any, options: PromptOptions): Promise> {
const result: PromptRecognizerResult = { succeeded: false };
let results: any;
const activity: Activity = context.activity;
const utterance: string = activity.text;
const locale: string = activity.locale || this.defaultLocale || 'en-us';
switch(this.promptType)
{
case SocialMediaPromptType.Mention:
results = recognizers.recognizeMention(utterance, locale);
break;
case SocialMediaPromptType.Hashtag:
results = recognizers.recognizeHashtag(utterance, locale);
break;
}
if (results.length > 0 && results[0].resolution != null) {
try {
result.succeeded = true;
result.value = results[0].resolution.value;
}
catch(e) {
console.log(e);
}
}
return result;
}
}protected async onRecognize(context: TurnContext, state: any, options: PromptOptions): Promise> {
const result: PromptRecognizerResult = { succeeded: false };
let results: any;
const activity: Activity = context.activity;
const utterance: string = activity.text;
const locale: string = activity.locale || this.defaultLocale || 'en-us';
switch(this.promptType)
{
case SocialMediaPromptType.Mention:
results = recognizers.recognizeMention(utterance, locale);
break;
case SocialMediaPromptType.Hashtag:
results = recognizers.recognizeHashtag(utterance, locale);
break;
}
if (results.length > 0 && results[0].resolution != null) {
try {
result.succeeded = true;
result.value = results[0].resolution.value;
}
catch(e) {
console.log(e);
}
}
return result;
}protected async onRecognize(context: TurnContext, state: any, options: PromptOptions): Promise> {
const result: PromptRecognizerResult = { succeeded: false };
const activity: Activity = context.activity;
const utterance: string = activity.text;
const locale: string = activity.locale || this.defaultLocale || 'en-us';
const results = recognizers.recognizePhoneNumber(utterance, locale);
if (results.length > 0 && results[0].resolution != null) {
try {
result.succeeded = true;
result.value = results[0].resolution.value;
}
catch(e) {
console.log(e);
}
}
return result;
}
}protected async onRecognize(context: TurnContext, state: any, options: PromptOptions): Promise> {
const result: PromptRecognizerResult = { succeeded: false };
let results: any;
const activity: Activity = context.activity;
const utterance: string = activity.text;
const locale: string = activity.locale || this.defaultLocale || 'en-us';
switch(this.promptType)
{
case InternetProtocolPromptType.IPAddress:
results = recognizers.recognizeIpAddress(utterance, locale);
break;
case InternetProtocolPromptType.URL:
results = recognizers.recognizeURL(utterance, locale);
break;
}
if (results.length > 0 && results[0].resolution != null) {
try {
result.succeeded = true;
result.value = results[0].resolution.value;
}
catch(e) {
console.log(e);
}
}
return result;
}
}protected async onRecognize(context: TurnContext, state: any, options: PromptOptions): Promise> {
const result: PromptRecognizerResult = { succeeded: false };
const activity: Activity = context.activity;
const utterance: string = activity.text;
const locale: string = activity.locale || this.defaultLocale || 'en-us';
const results = recognizers.recognizeGUID(utterance, locale);
if (results.length > 0 && results[0].resolution != null) {
try {
result.succeeded = true;
result.value = results[0].resolution.value;
}
catch(e) {
console.log(e);
}
}
return result;
}
}protected async onRecognize(context: TurnContext, state: any, options: PromptOptions): Promise> {
const result: PromptRecognizerResult = { succeeded: false };
let results: any;
const activity: Activity = context.activity;
const utterance: string = activity.text;
const locale: string = activity.locale || this.defaultLocale || 'en-us';
switch(this.promptType)
{
case InternetProtocolPromptType.IPAddress:
results = recognizers.recognizeIpAddress(utterance, locale);
break;
case InternetProtocolPromptType.URL:
results = recognizers.recognizeURL(utterance, locale);
break;
}
if (results.length > 0 && results[0].resolution != null) {
try {
result.succeeded = true;
result.value = results[0].resolution.value;
}
catch(e) {
console.log(e);
}
}
return result;
}public async onTurn(context: TurnContext, next: () => Promise): Promise {
if (context.activity.type === ActivityTypes.Message) {
const emails: ModelResult[] = recognizeEmail(context.activity.text, this.defaultLocale);
const emailEntities: string[] = [];
if (emails.length > 0) {
for (const i of emails) {
emailEntities.push(i.resolution.value);
}
context.turnState.set('emailEntities', emailEntities);
}
}
await next();
}
}public async onTurn(context: TurnContext, next: () => Promise): Promise {
if (context.activity.type === ActivityTypes.Message) {
const mentions: ModelResult[] = recognizeMention(context.activity.text, this.defaultLocale);
const hastags: ModelResult[] = recognizeHashtag(context.activity.text, this.defaultLocale);
const mentionEntities: string[] = [];
const hastagEntities: string[] = [];
if (mentions.length > 0) {
for (const i of mentions) {
mentionEntities.push(i.resolution.value);
}
context.turnState.set('mentionEntities', mentionEntities);
}
if (hastags.length > 0) {
for (const i of hastags) {
hastagEntities.push(i.resolution.value);
}
context.turnState.set('hastagEntities', hastagEntities);
}
}
await next();public async onTurn(context: TurnContext, next: () => Promise): Promise {
if (context.activity.type === ActivityTypes.Message) {
const mentions: ModelResult[] = recognizeMention(context.activity.text, this.defaultLocale);
const hastags: ModelResult[] = recognizeHashtag(context.activity.text, this.defaultLocale);
const mentionEntities: string[] = [];
const hastagEntities: string[] = [];
if (mentions.length > 0) {
for (const i of mentions) {
mentionEntities.push(i.resolution.value);
}
context.turnState.set('mentionEntities', mentionEntities);
}
if (hastags.length > 0) {
for (const i of hastags) {
hastagEntities.push(i.resolution.value);
}
context.turnState.set('hastagEntities', hastagEntities);
}
}@microsoft/recognizers-text-sequence
recognizers-text-sequence provides robust recognition and resolution of series entities like phone numbers, URLs, and e-mail and IP addresses.
Package Health Score
79 / 100Popular @microsoft/recognizers-text-sequence functions
- @microsoft/recognizers-text-sequence.recognizeEmail
- @microsoft/recognizers-text-sequence.recognizeGUID
- @microsoft/recognizers-text-sequence.recognizeHashtag
- @microsoft/recognizers-text-sequence.recognizeIpAddress
- @microsoft/recognizers-text-sequence.recognizeMention
- @microsoft/recognizers-text-sequence.recognizePhoneNumber
- @microsoft/recognizers-text-sequence.recognizeURL