Final deliveries for CS488 Paper: senior-thesis-political Poster: CS488 Poster – Minh Vu Github directory: https://github.com/mdvu15/CS488-Senior-Capstone
During the past 2 weeks I have: – Been able to program the communication between the Chrome extension and the classifier, with some modification in the project design. Instead of using Native Messaging, I set up a Flask server and … Read More
During the last week I encountered a few problems with my project While working on the demo, I noticed that the classifier is not doing a good job classifying liberal news sites. It classified a few articles on CNN and … Read More
During the past week I was able to: Improved the average accuracy, recall, and F1-score of my MLP classifier to 80% Implemented goose3, a news scraping API to query raw texts from news articles, handled the data, vectorized the sentences … Read More
During the past week, I have been working mostly on the Google Chrome extension. I encountered some problems with scanning data from a given website. The extension listener does not seem to process DOM objects correctly and it couldn’t query … Read More
In the past week, I was finally able to get my MLP classifier to train and test with the IBC dataset without any error. The average result so far is at 66% with a standard-parameterized MLP in sci-kit learn. In … Read More
During the past week I have: – Cleaned up the data, converted it to the CSV file, tried feeding it to the MLP classifier. However, I’m running into some error scaling it before feeding the data to the MLP. I … Read More
During the past week I have: – Gotten close to getting the data to work. Right now the data is divided into leaves and nodes. I’ve been able to get the node-level labels but not the leaf-level labels. Once that … Read More
During the past week, I was able to query the data from the IBC and looked more into it. It has come to my attention that the IBC was labeled both on the word level (leaf) and the sentence level … Read More
During the past week I have: – Started writing the introduction of my thesis paper – Started implementing the first module of the project (word matrices initialization) – Looked into the IBC corpus data, whose sentences are implemented as a … Read More
Over the past week, I was able to make the following progress with my project: – Came up with a detailed design of my project, which lists all the modular components and their functions. These components might change as the … Read More
For this week, I plan to: Finalize the project timeline Look into how to plug the sample data into the classifier and link this functionality to the Chrome extension Take the Udacity crash course on Supervised learning Set up PyTorch … Read More
In the last week I have: Reached out and had Ajit as my project adviser Contacted the IBC author to request the dataset Started reading about PyTorch and how to set them up Started looking into online crash courses about CNN … Read More
For next week, I plan to Set up the environment on my computer for SciKit learn (or potentially PyTorch) Collect data (the IBC) by emailing the authors Read through documentation and familiarize myself with SciKit learn and supervised learning. Reach … Read More