Unlock meaning like never before. A robust set of tools for intelligent text understanding.
Receives a text and returns a JSON object containing a list of analyzed sentences. See the docs here
Create a HTML or a plain text email template. See the docs
Receives two texts and returns a JSON object containing the text similarity score. See the docs here
Send an email using Amazon SES. Supports simple email messaging. See the docs
The Codeq Natural Language Processing API provides powerful text analysis capabilities. It parses and understands complex structures in text, extracting meaningful insights. On Pipedream, you can harness this API to analyze text data from various sources, automate content categorization, sentiment analysis, or even construct rich profiles of user feedback. With Pipedream's serverless platform, these processes can be automated, triggered by events, and integrated with numerous other apps to create robust, data-driven workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
codeq_natural_language_processing_api: {
type: "app",
app: "codeq_natural_language_processing_api",
}
},
async run({steps, $}) {
const data = {
"user_id": `${this.codeq_natural_language_processing_api.$auth.user_id}`,
"user_key": `${this.codeq_natural_language_processing_api.$auth.user_key}`,
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.codeq.com/v1`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})
Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.
module.exports = defineComponent({
props: {
amazon_ses: {
type: "app",
app: "amazon_ses",
}
},
async run({steps, $}) {
const AWS = require("aws-sdk")
const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
const ses = new AWS.SES({
accessKeyId,
secretAccessKey,
region: 'us-east-1',
})
const sesParams = {
Destination: {
ToAddresses: ["<your email here>"],
},
Message: {
Body: {
Html: {
Charset: "UTF-8",
Data: "<h1>This is a test</h1>",
},
Text: {
Charset: "UTF-8",
Data: "This is a test",
}
},
Subject: {
Charset: "UTF-8",
Data: "Test email",
}
},
Source: "<your from address here",
};
this.resp = await ses.sendEmail(sesParams).promise()
},
})