with Intellexer API and Node?
Recognize language and encoding of an input text stream. See the documentation
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
Extract named entities from a document using Intellexer API. See the documentation
Summarize a document using Intellexer API. See the documentation
Summarize text using Intellexer API. See the documentation
The Intellexer API offers a suite of linguistic and semantic analysis tools that can enhance text-based applications. With it, you can extract meaning, relations, and facts from the text, enabling smarter data management and decision-making processes. When paired with Pipedream's serverless execution model, the Intellexer API can be used to automate content analysis, enhance search functionalities, and preprocess data for more complex workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    intellexer_api: {
      type: "app",
      app: "intellexer_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://api.intellexer.com/sentimentAnalyzerOntologies`,
      headers: {
        "Content-Type": `application/json`,
      },
      params: {
        apikey: `${this.intellexer_api.$auth.api_key}`,
      },
    })
  },
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores
This includes installing NPM packages, within your code without having to manage a package.json file or running npm install.
Below is an example of installing the axios package in a Pipedream Node.js code step. Pipedream imports the axios package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
  async run({ steps, $ }) {
    // Return data to use it in future steps
    return steps.trigger.event
  },
})