Meaning as a Service - Turn your unstructured content into actionable data.
Create a new document in a collection of your choice. See the docs here
Execute an aggregation pipeline on a MongoDB collection. See the documentation
The MeaningCloud API provides advanced text analysis capabilities leveraging natural language processing (NLP). With it, you can extract insights and meaning from textual content. In Pipedream, you can connect the MeaningCloud API to analyze the sentiment of customer feedback, classify text into categories, extract entities and concepts, and much more. The API's integration into serverless workflows on Pipedream allows for automating complex tasks that involve processing and understanding human language.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
meaningcloud: {
type: "app",
app: "meaningcloud",
}
},
async run({steps, $}) {
const data = {
"key": `${this.meaningcloud.$auth.api_key}`,
"txt": `This model implements the Interactive Advertising Bureau (IAB) taxonomy, a standard for the advertisement industry which aims to make content classification consistent across the industry. This taxonomy defines 370 contextual content categories in its first two tiers.`,
"model": `IAB_2.0_en`,
}
return await axios($, {
url: `https://api.meaningcloud.com/deepcategorization-1.0`,
headers: {
"Content-Type": `multipart/form-data`,
},
data,
})
},
})
The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.
import mongodb from 'mongodb'
export default defineComponent({
props: {
mongodb: {
type: "app",
app: "mongodb",
},
collection: {
type: "string"
},
filter: {
type: "object"
}
},
async run({steps, $}) {
const MongoClient = mongodb.MongoClient
const {
database,
hostname,
username,
password,
} = this.mongodb.$auth
const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
const client = await MongoClient.connect(url, {
useNewUrlParser: true,
useUnifiedTopology: true
})
const db = client.db(database)
const results = await db.collection(this.collection).find(this.filter).toArray();
$.export('results', results);
await client.close()
},
})