View source for User:Dalmeidad

==Week 1: June 4th, 2018==
===Tuesday (6/5/18)===
* Met with Dr. Praveen and Joe, discussed the outline of the project, as well as plans for week and other logistics
* Discussed overview of internship with Dr. Brylow, set up all of my accounts
* First read-through of the 2017 research paper of this topic - "Forecasting Stock Prices using Social Media Analysis" 

===Wednesday (6/6/18)===
* Took notes on 2017 research paper, formulating initial questions and listing topic areas in which to focus on understanding
* Looked through last year's code
* Began reading through last year's references, starting with "Stock Market Prediction System with Modular Neural Networks"

===Thursday (6/7/18)===
* Met with Dr. Praveen and Joe, solidified ideas of what goals to consider for project
* Began making a research table, classifying readings through ideas/methods and conclusions
* Finished "Stock Market Prediction System with Modular Neural Networks" and added to table
* Finished half of week 1 of Coursera Data Science in Python

===Friday (6/8/18)===
* Built up basic knowledge about neural networks and the different types
* Brainstormed ways to approach last years project and improve upon it/ make it my own

==Week 2: June 11th, 2018==
===Monday (6/11/18)===
* Found around 8 papers pertaining to the project
* Created and filled out an excel spreadsheet covering the papers and their main ideas

===Tuesday (6/12/18)===
* Met with Dr. Praveen and Joe, solidified plans for bringing in other sources to make model better and considering N day look ahead
* Finished the papers found on Monday
* Started week 1 on Coursera

===Wednesday (6/13/18)===
* RCR training

===Thursday (6/14/18)===
* Met with Dr. Praveen briefly
* Finished week 1 Coursera
* Found more papers for background knowledge
* Worked on converting python 2.7 to python 3

===Friday (6/15/18)===
* Worked on better understanding pandas and other packages being used in previous year's code
* Started week 2 of Coursera

==Week 3: June 18th, 2018==
===Monday (6/18/18)===
* Met with P.H.D student Joseph Coelho and worked through Scott's code from last year's REU
* Continued to work independently on understanding the code

===Tuesday (6/19/18)===
* Met with Dr. Praveen and Joe, discussed the main goal and steps to take in improving the project
* Worked on making slight alterations the code and seeing the results
* Looked over some of the past readings I had done

===Wednesday (6/20/18)===
* Finished week 2 of Coursera
* Developed a plan as to how to implement changes to Scott's code in following weeks

===Thursday (6/21/18)===
* Worked on better understanding the method of finding and analyzing content of URLs in twits

===Friday (6/22/18)===
* Mostly added ability to parse to URLs
* Copied over Scott's code into a clean Jupyter Notebook and added important comments for myself

==Week 4: June 25th, 2018==
===Monday (6/25/18)===
* Finished the code to parse and obtain sentiment from URLs
* Began running tests, realized that running the code was very time consuming and began to look for a way around this

===Tuesday (6/26/18)===
* Met with Dr. Praveen and discussed my current progress on the code as well as steps to take during the coming weeks
* Began to write code to take all twit data and extract sentiment from the URLs, then save the data to a CSV file for future use

===Wednesday (6/27/18)===
* Worked on Midterm presentation
* Practiced Midterm presentation

===Thursday (6/28/18)===
* Presented and watched presentations of Midterm presentation

===Friday (6/29/18)===
* Week 3 of Coursera

==Week 5: July 2nd, 2018==

==Week 6: July 9th, 2018==

==Week 7: July 16th, 2018==

==Week 8: July 23rd, 2018==

==Week 9: July 30th, 2018==