Week 30

Accomplishments
Finals are almost done.
Weekly goal
 Finish finals and set concrete meeting times and plans for this summer.

Week 29

Accomplishments
Our paper is done and we have sat down to discuss our summer plans. We plan to investigate a recurrent Neural Network structure instead of a Convolutional one. We also plan to investigate new metric ideas instead of focusing only on the standard metric. All of these ideas came from attending confrences and talking to people, so I thank all of them for their input!
Weekly goal
Study and succeed in our finals.

Week 28

Accomplishments
Our final paper is well on its way to completeness. We have everything transferred over from our other papers now we are just finishing odds and ends and struggling with ensuring our citations are correctly logged in Zotoro.
Here is an exert of our paper~
Question-and-answer (Q&A) websites like Stack Overflow require users to attach up to five tags when they submit a question. However, users may assign tags that are not relevant to the question. A better approach would be to recommend to users the most appropriate tags for their question and let them choose. The goal of this project is to combine newly developed natural language representations together with deep learning algorithms to improve the prediction accuracy of tags for Stack Overflow questions. We used word representations generated by word2vec and a Convolutional Neural Network. 
Weekly Goal
Finish the paper!

Week 27

Accomplishments
The STEM Showcase went well. We had a lot of young students come up to talk to us about our research, so hopefully we inspired some young programmers. We also sat down and started discuusing what will be needed in our final report.
Weekly Goal
Look through the papers we have written to submit to conferences and expand where needed for the final paper.

Week 26

Accomplishments
We presented at COFSP and were the second place team for our set of judges. We had a tough time presenting as one of our judges specialized in Natural Language processing and Deep learning and our other judge did not even know what Machine Learning is. We were given some great advice by the knowledgeable judge that we plan to implement during our summer extension.
Weekly Goal
We have one more day of presenting at our school's STEM Showcase.

Week 25

Accomplishments
This week was QUEST, a research competition at our university. We participated and presented to 2 judges, using all that we learned from our first conference. We were able to give informed presentations that had the judges asking us deep questions about our model.\
Weekly Goal
The COFSP conference is this weekend, so staying prepared to present. Also, including fasttext into our analysis.

Week 24

Accomplishments
I presented at the SIAM conference and was a participant in the BE (Broader Engagement) Program through SHI. I learned so much and made invaluable connections. I also was able to present in front of bigger audiences than I'd ever had the chance to so I was able to improve skills that can help me convey this research in the future.
Weekly Goal
It's spring break so we plan to FaceTime at our normal time and discuss any changes we want to make to the poster before our next conference and start to improve the code. We are hoping to fix the labeling problem when using fasttext soon.

Week 23

Accomplishments
Successfully presented both a 1 minute pitch speech and an hour long poster talk. We learned a lot about what we need to explain better, such as our evaluation metric and how word2vec works. We thought as it is an industry standard that more people would know what it was.
Weekly Goal
I am at SIAM this week with Alina presenting other research. I plan to focus on that presentation on Joint Sequence analysis and just take in all of the opportunities at this major conference.

Week 22

Accomplishments
The poster is done and the coding brought to a stopping point. We are preparing to present at the conference and have practiced the delivery. Some of the points we prepared to give are a through explanation of convolutional neural networks and how they can be used to solve our specific problem and an explanation of how we evaluated the success of our program
Weekly Goal
Enjoy the conference and present our project well.

Week 21

Accomplishments
We finished the paper we will submit to Tapia and Grace Hopper and have a very good start on the poster. The poster should be ready to print by the end of the week and we should get it in plenty of time for OCWiC. Throughout all of this we are still trying to get fasttext to run.
Weekly Goal
Finish the poster and to figure out the labeling system for fasttext. Our data needs reformatted to be run on this state of the art labeling system.

Week 20

Accomplishments
The poster is done and being printed. Several new graphics were made for the poster including a 3D representation of a convolutional neural network.
Weekly Goal
Present well at our conference and network.

Week 19

Accomplishments
Our model has been further improved and we are now getting accuracy ratings and graphs detailing how our model is functioning. We have enough results to present and simply need to compile them into a visually appealing way. The poster is started but needs the finer touches finished before next week.
Weekly Goal
Finish the poster!

Week 18

Accomplishments
We have a working model! To run the fasttext model we still need to rework the data into an appropriate form, but our convolutional neural network is working. We’re getting accuracy readings and can start to adapt it to find an optimal version.
Weekly Goal
Instead of reworking the data for the fasttext model, we’re going to focus on our poster and presentation for oiwic.

Week 17

Accomplishments
We just missed the deadline for MSR but we have a nearly completed paper. We are exploring alternative models to expand and improve ours, which is still touchy, before publication. Currently we are focused on fasttext.
Weekly Goals
We plan to debug our fasttext model and run it on our data. Maybe even attempt to integrate it into our current model.

Week 16

Accomplishments
We are having problems running our model. We've decided to run it on a new data set which, means I have rewritten my statistics code for this new and much larger data set. There were a few minor problems with the transfer. The formats of the times were different and the titles were all different, but after some minor tweaks it was working fine.
Weekly goal
We plan to fix the model and still submit in time for MSR.

Week 15

Accomplishments
We have completed most of the paper now. We have the related work, methods, introduction, and abstract done. Hannah has worked more examples with our convolutional neural network. The deadline for MSR is approaching quickly and we're quickly working to finish the paper.
Weekly Goal
We hope to finish running the model on our data and write the rest of our paper.