Dept of Justice DOJ and Federal Trade Comm FTC request for info request for comments on proposed rulemaking Vertical Merger Guidelines. Many Agency Rulemaking comments from National Language Tool AI also by campaigns by American Economic Liberties Project and American College Emergency Medicine
Over the spring and summer, I did a series of posts on extracting quality information from FDA enforcement initiatives like warning letters, recalls, and inspections. But obviously FDA .
The goal of Topic Modeling is good visual representation of a topic, and then a good visual representation of exactly for which types of products Mandatory Medical Device Reporting, addressing that topic were filed. Natural Language offers insights from large databases
This publication explores how natural language processing (NLP) techniques can be applied to social media text data to map public sentiment and inform development research and policy making.
In recent years, a concerted political effort has been made at national and EU level to promote the consumption of healthy foods. The European Commission (EC) expressed a need for a harmonized, mandatory front-of-pack nutrition labelling (FOPL) system at EU level. The EC intends to adopt the proposal by the end of 2022. Our research work seeks to understand the public discourse on FOPL in the EU through Twitter, by content analysis of tweets, sentiment analysis and mapping network characteristics. Search and data collection of tweets were carried out by using Twitter Application programming interface (API) without time or language limit. The content was coded using the QRS Nvivo software package and analysed by themes. Automatic sentiment analysis was carried out by QSR Nvivo, network analysis by Gephi 0.9.2. 4073 tweets were posted, mainly from the United Kingdom, Spain and France. The emerging themes from Twitter discussions include food labelling types, food industry, healthy food v