Parlawatch is an AI powered analysis tool for Canada’s daily Question Period proceedings. It assists in keeping average citizens and political analysts informed as well as the government accountable.

The tool summarizes and predicts sentiments for Question Period proceedings in the Canadian House of Commons, dating back to 2001.

Intuitive and user-friendly, Parlawatch utilizes machine learning for pre-trained sentiment analysis models in order to produce insightful predictions.

Summarizing and analyzing text transcripts, Parlawatch monitors Parliament and generates concise reports in order to inform curious citizens, journalists, and political analysts alike.

Topic Timeline:

View topics by weekly frequency of mentions throughout a given Parliamentary session

Daily Report:

Summarizes the entire day’s Question Period proceedings as a back-and-forth conversation between the parties and the government

Question/Answer Awards:

Ranks the highest-scoring quotes from Question Period daily for sentiment: Irony, anger, sadness, and optimism

Sentiment by Topic:

Parlawatch scores the average sentiment of the various parties toward the government in any given topic.

Technologies used

  • Azure
  • Microsoft SQL Server
  • Python
  • Random Forest
  • Serenity
  • .NET Core
  • TypeScript
  • HTML
  • CSS