- Learn about tools available to process document collections
- Deliverable P2A
- Processes a set of documents and finds the top 5 most frequently used words in the set (based on a given list of words).
- Deliverable P2B
- Processes a set of documents using some classic clustering algorithm.
- Deliverable P2A
- Machine grade ELA essays based on readability and vocabulary choice.
- Deliverable P3B
- Implementation of readability scores by Flesch-Kincaid, vocabulary scores by TF-IDF.
- Deliverable P3C
- Proof of concept on set of 15 ELA papers from a grade 9 classroom.
- Machine grade each paper based on:
- Readability Ratio
- Each paper is assigned Coleman-Liau and Flesch-Kincaid readability score.
- Score is divided by 12 for grade 12 being end of high school and assumption that an idealized paper should be at least in the 9-12 grade range.
- Mean Vocabulary Score
- Average TF-IDF score of 10 most frequent words in corpus for given paper.
- Average TF-IDF score of 10 most frequend words in given paper.
- Floor of Sum of Readability Ratio and Mean Vocabulary Score is multiplied by 100 and converted to integer in attempt to avoid inflating machine score.
- Min Readability of Coleman-Liau and Flesch-Kincaid is used for avoiding inflation as well.
- Readability Ratio
- Deliverable P3B
-
Notifications
You must be signed in to change notification settings - Fork 0
rdepascale/CSIT696
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Spring 2021: Research Methods in Computing
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published