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Sample Source Code: ParallelDots Semantic Analysis

The parallelDots Semantic Analysis helps users cluster similar articles by understanding the relatedness between different content and streamlines research by eliminating redundant text contents. This API can help bloggers, publishing and media houses to write more engaging stories by retrieving similar articles from past quickly, and news aggregators to combine similar news from different sources to reduce clutter in the feeds of their readers. This code sample is for use with the ParallelDots Semantic Analysis API from paralleldots.config import get_api_key import requests import json def get_similarity( text_1, text_2 ): api_key = get_api_key() if not api_key == None: if type( text_1 ) != str or type( text_2 ) != str: return { "Error": "Input must be a string." } elif text_1 == "" or text_2 == "": return { "Error": "Input string cannot be empty." } url = "" r = url, params={ "api_key": api_key, "text_1": text_1, "text_2": text_2 } ) if r.status_code != 200: return { "Error": "Oops something went wrong ! You can raise an issue at" } r = json.loads( r.text ) return r else: return { "Error": "API key does not exist" }