Home of cutting edge, explainable AI software that turns unstructured content into meaningful insights.
Analyze text for language, entities, sentiment, and other insights. See the documentation
Add or update a single record in your Pipedream Data Store.
Detects languages used in the specified text fragment. See the documentation
Add or update multiple records to your Pipedream Data Store.
Finds and returns a URL of an image (Creative Commons) best describing the text. See the documentation
The Tisane Labs API offers advanced text analysis capabilities, focusing on abusive content detection and linguistic insights. With it, you can automate content moderation, extract entities, detect the sentiment, and identify the language of the text. In Pipedream, Tisane Labs API can be integrated into workflows to process text from various sources such as user comments, support tickets, or social media posts. By leveraging Pipedream's serverless platform, you can create real-time, event-driven applications that respond to text analyses, connect with other services, and perform actions based on the insights gained from the Tisane Labs API.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tisane_labs: {
type: "app",
app: "tisane_labs",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tisane.ai/languages`,
headers: {
"Ocp-Apim-Subscription-Key": `${this.tisane_labs.$auth.api_key}`,
},
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})