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Canada are you still undecided?
Which Party has the best platform that speaks most to your issues?
This Canadian Federal Election has seen more undecided voters late in the campaign season and many party loyalists questioning their allegiance.

Which party has the most cohesive platform that speaks to your top issues?

To help answer that question we have collected each of the six party platforms (see below) and using Doc-Tags, a patent-backed Artificial Intelligence and Machine Learning software, we have distilled each of the party platforms down to their top 30 Key Phrase Issue Speaking points as presented in each party platform.

The Top 30 Party Platform Keyword Issue Speaking Points

Doc-Tags - Election Canada - Top 30 Party Key Phrase Issue Speaking Points


Please Note: In total the six parties have used an aggregate of 112 Key Phrase Issue speaking points. These speaking points are listed Alphabetically and the chart presents how each party, also presented Alphabetically, has weighted a particular Key Phrase Issue in their platform. The weighting (Rank) of a particular Key Phrase Issue is solely based upon the importance of how that term has been presented in the given party platform.

You do your own analysis - select your own top 30 Key Phrase Issue Speaking Points from the Alphabetical listing and then see how each party has weighted your issues in their platform. A rank of 30 is the most important and 1 the least important Key Phrase Issue Speaking Point as presented in the party platform.

Which Party ranks highest on your top issues?

Party Platforms:

Bloc Quebecois
Conservative Party
Green Party
Liberal Party
New Democratic Party
Peoples Party of Canada  (aggregated from Party Website)

How the results were tabulated:

The primary set of results from the Doc-Tags processed party platforms, raw data if you like, is presented in Doc-Tags_2019-Federal-Party-Platforms-Top-30-KeyPhrase-Issue-Analysis.pdf which identifies the top 30 Key Phrase Issue Speaking Points, the Ranking for each Key Phrase Issue, and a Highlight of how that Key Phrase Issue Speaking Point most highly represents how Party has presented that term in their platform.

Doc-Tags uses a patent-backed Artificial Intelligence and Machine Learning technology engineered by the gifted Dr. Peter Turney of the National Research Council of Canada and through partnership with DBI Technologies Inc. (SR&ED) the xAIgent Web service powers the cognitive analytics that provides the Contextually Accurate Insightful results demonstrated above.

Doc-Tags Automatic Document Description Tagging - by DBI Technologies Inc.
Today is the last day you read / re-read a document to define it for an Enterprise Content Management System or to publish content on the Semantic Web

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• Automatically Create Contextually Accurate Tags for a Document


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• Subject Domain Agnostic - additional training NOT required


• Automatic Processing - supervision is NOT required


• Document Tags are presented by Weighted Importance


• Process Reporting ...


Tags Generated


Documents Processed


Document Location


• Examine Comparative Document Tags


• Find Documents with 'These' Tags


• Multi Language Support ...









• Korean


• Spanish


• Contextual Key Terms Automatically Extracted for Each Document

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