with Intellexer API and Melissa Data?
Recognize language and encoding of an input text stream. See the documentation
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}`,
},
})
},
})
The Melissa Data API provides data quality services that can validate, cleanse, append, and enrich your data. Using Pipedream, you can seamlessly integrate these capabilities into workflows, automating processes that require address verification, email validation, phone number validation, and more. With Pipedream's serverless platform, you can trigger workflows with HTTP requests, schedule them, or even run them in response to events from other apps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
melissa_data: {
type: "app",
app: "melissa_data",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://globalip.melissadata.net/v4/web/iplocation/doiplocation`,
params: {
id: `${this.melissa_data.$auth.api_key}`,
ip: `47.149.180.9`,
},
})
},
})