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This is an ideal set of steps we would take. What we focus on and when things are completed is subject to change.
March and April
Fix up the repo
Collect data, particularly social media data.
Read up on the latest NLP breakthroughs such as BERT, Transformers, etc.
Read up on some of the specific sub-problems such as text summarization and topic classification
May
Develop an effective political leaning classifier
Research methods of incorporating ML into web extensions, and how they should be structured to ensure they aren't resource intensive for the user
Develop an effective topic classifier
Create a dead simple testing platform and test the effectiveness of the combined leaning/topic models.
June
Develop an event classifier and determine the general feasibility of this segment of the project, as it's subject to external factors
Layout a framework for the extension or application, determine server requirements
Continue testing real world performance of existing classifiers using local testing platform
Build up a prototype extension with the existing models for very basic functionality
July
Ideally, soft launch on the MVP, though this is likely not feasible
Develop a set of text summarizers using a variety of parameters, data subsets and techniques if necessary
Continue developing extension. I'm going to learn to hate web programming all over again this summer
Establish the framework for developing the fake news classifier. Owing to the potential politicized subjectivity of what counts as fake news, this is an important step before development for the credibility of the project
August
Develop toxicity classifier
Continue working on extension
Develop fake news classifier
The text was updated successfully, but these errors were encountered:
Roadmap
This is an ideal set of steps we would take. What we focus on and when things are completed is subject to change.
March and April
May
June
July
August
The text was updated successfully, but these errors were encountered: