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Sample Source Code: ParallelDots Text Classification (Taxonomy) Followers

ParallelDots Text Classification (Taxonomy) can help you understand customer behavior by categorizing conversations on social networks, feedback and other web sources.

Search engines, newspapers, or e-commerce portals categorize their content or products to facilitate the search and navigation.

This code sample is for use with the ParallelDots Text Classification (Taxonomy) API.

from paralleldots.config import get_api_key
import requests
import json

def get_taxonomy( text ): api_key = get_api_key() if not api_key == None: if type( text ) != str: return { "Error": "Input must be a string." } elif text in [ "", None ]: return { "Error": "Input string cannot be empty." } url = "http://apis.paralleldots.com/v2/taxonomy" r = requests.post( url, params={ "api_key": api_key, "text": text } ) if r.status_code != 200: return { "Error": "Oops something went wrong ! You can raise an issue at https://github.com/ParallelDots/ParallelDots-Python-API/issues." } r = json.loads( r.text ) return r else: return { "Error": "API key does not exist" }