The Intellexer API enables developers to embed Intellexer semantic products into consumer or enterprise applications or web-services using XML or JSON.
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 Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.
export default defineComponent({
async run({ steps, $ }) {
let condition = false
if (condition == false) {
$.flow.exit("Ending workflow early because the condition is false")
} else {
$.export("$summary", "Continuing workflow, since condition for ending was not met.")
}
},
})