Our algorithms identify ESG in the news
Natural language processing highlights the companies in news articles, identifies sub-narratives, and analyzes grammar, topics, and sentiment.
Example
Datapoint:
Customize our up-to-the-minute news data to get the information you want and need
We categorize articles in real time according to ESG topics, from emissions to Indigenous rights, that are most relevant to individual investors.
We make it easy for you to leverage our data
We’re flexible, with two ways to leverage our ESG insights. Free and Premium Members can access our real-time data through our ready-to-use app. Or, if you want to build your own feeds and visualizations using our API, talk to us about becoming a Pro Member!
index.py
- import requests
- import json
- x = requests.get(‘https://www.act-analytics.com/app/news-api/request_data/133713371337/4295905494,5037473967/labor’)
- y = json.loads(x.text)
- scores = y[‘4295905494’][‘scores’]
- timestamps = y[‘4295905494’][‘time_published’]
- print(scores, timestamps)