Difference between revisions of "User:Wylief"
From REU@MU
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===Week 6: 7/6=== | ===Week 6: 7/6=== | ||
| − | * | + | *Continued going through the text analytics book |
| + | *Implemented some of the tutorial code throughout the book | ||
| + | *Learned about Text Classification | ||
| + | *Met with peers and mentors to talk about the group message system | ||
| + | *Met with REU peers and learned how to create posters | ||
| + | *Started looking into various SMS-based group message systems | ||
| + | |||
===Week 7: 7/13=== | ===Week 7: 7/13=== | ||
| − | * | + | *Continued looking at various sms based group message systems |
| + | *Started programming and interfacing with GroupMe's API | ||
| + | *Started looking into scraping specific android SMS messages | ||
| + | *Started using angry outburst data to perform text classification to train a ML model | ||
| + | |||
===Week 8: 7/20=== | ===Week 8: 7/20=== | ||
| − | * | + | *Worked on preprocessing data |
| + | *Worked on labeling data | ||
| + | *Met with REU mentors & students | ||
| + | *Met with mentor | ||
| + | *Met with project group | ||
| + | |||
===Week 9: 7/27=== | ===Week 9: 7/27=== | ||
| − | * | + | *Worked on visualizing the ML model metrics |
| + | *Met with mentor | ||
| + | *Mid-week REU check-in | ||
| + | *Worked on poster | ||
| + | *Met with project team | ||
| + | *Worked on slide presentation | ||
| + | |||
===Week 10: 8/3=== | ===Week 10: 8/3=== | ||
| − | * | + | *Finished poster |
| + | *Finished slides | ||
| + | *Finished paper | ||
| + | *Presented slides and poster | ||
| + | *Took post-REU survey | ||
| + | *Turned in slides, poster, and paper to Dr. Praveen | ||
Latest revision as of 21:51, 3 August 2020
Contents
About me
My name is Wylie Frydrychowicz. I am a senior at Marquette University studying Computer Science and Business Administration. My mentor is Dr. Praveen Madiraju for the Summer 2020 REU. The research topic is Text Analytics for Predicting Crisis Events in Veterans.
Work Log (2020)
Week 1: 6/1
- Learned about various topics in Data Science using the python programming language (Data Visualization, Pre-processing, Classification, and Machine Learning)
- Learned about good research practices, including recording logs
- Met with my mentor to talk about the research project
- Worked on programming Feedback activity
Week 2: 6/8
- Implemented Feedback activity into android and iOS apps
- Edited a PHP file to save the feedback data in the database
- Made new table in database for the data
- Met with mentor and peers to talk about both apps
Week 3: 6/15
- Started looking into different group messaging platforms with APIs
- Started reading literature about creating/using a group message system
- Learned about the SMOTE technique for imbalanced data in ML
- Completed RCR training
- Updated iOS and Android app on each app store
Week 4: 6/22
- Looked into various group message systems
- Looked into Firebase cloud messaging for notifications
- Setup a Facebook Messenger webhook
- Met with mentor and group
- Troubleshot the app with a peer
- Learned about Dr. Walter Bialkowski's research
Week 5: 6/29
- Listened to Dr. Brylow give talk about good presentations
- Made presentation on research/work done so far
- Gave presentation and listened to peers presentations
- Continued looking into Facebook Messenger API
- Started reading Text Analytics with Python
- Met with mentor and various peers throughout the week
Week 6: 7/6
- Continued going through the text analytics book
- Implemented some of the tutorial code throughout the book
- Learned about Text Classification
- Met with peers and mentors to talk about the group message system
- Met with REU peers and learned how to create posters
- Started looking into various SMS-based group message systems
Week 7: 7/13
- Continued looking at various sms based group message systems
- Started programming and interfacing with GroupMe's API
- Started looking into scraping specific android SMS messages
- Started using angry outburst data to perform text classification to train a ML model
Week 8: 7/20
- Worked on preprocessing data
- Worked on labeling data
- Met with REU mentors & students
- Met with mentor
- Met with project group
Week 9: 7/27
- Worked on visualizing the ML model metrics
- Met with mentor
- Mid-week REU check-in
- Worked on poster
- Met with project team
- Worked on slide presentation
Week 10: 8/3
- Finished poster
- Finished slides
- Finished paper
- Presented slides and poster
- Took post-REU survey
- Turned in slides, poster, and paper to Dr. Praveen
