Meaning as a Service - Turn your unstructured content into actionable data.
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Executes a custom query you provide. See the documentation
Finds a row in a table via a custom query. 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,
})
},
})
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
const { rows } = await this.postgresql.executeQuery(queryObj);
return rows;
},
})