Difference between revisions of "User:Dalmeidad"

Revision as of 15:49, 10 July 2018 (view source) Dalmeidad (Talk | contribs) (→‎Thursday (7/5/18)) ← Older edit		Latest revision as of 16:21, 3 August 2018 (view source) Dalmeidad (Talk | contribs)
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	* Read different articles to see which parts of the text were more important to a sentiment score		* Read different articles to see which parts of the text were more important to a sentiment score
	* Started creating personalized sentiment analyzer using the Loughran and McDonald Sentiment Word List		* Started creating personalized sentiment analyzer using the Loughran and McDonald Sentiment Word List
		+
		+	===Wednesday (7/11/18)===
		+	* Researched creating sentiment analyzers
		+	* Worked on the sentiment analysis code
		+
		+	===Thursday (7/12/18)===
		+	* Met with Advisor
		+	* Worked on note sheet from readings
		+	* Started looking at Naive Bayes Classification tutorial
		+
		+	===Friday (7/11/18)===
		+	* Continued researching and understanding sentiment analysis model
	==Week 7: July 16th, 2018==		==Week 7: July 16th, 2018==
		+	===Monday (7/16/18)===
		+	* Began working on Poster, formed template and structure
		+	* Decided with the limited time left in program, the creation of a personalized sentiment model is improbable
		+
		+	===Tuesday (7/17/18)===
		+	* Reviewed papers that I had read and updated summaries of them
		+	* Worked on the URL code in forecasting model
		+
		+	===Wednesday (7/18/18)===
		+	* Continued to work to get results in forecasting model
		+
		+	===Thursday (7/19/18)===
		+	* Added related works table to poster
		+	* Added ideas to most other sections of poster
		+	* Debugged the weighting of URL sentiment in model
		+
		+	===Friday (7/20/18)===
		+	* Finally obtained results and included them in poster
		+	* Began working to include URL sentiment on the better model developed last year
	==Week 8: July 23rd, 2018==		==Week 8: July 23rd, 2018==
		+	===Monday (7/23/18)===
		+	* Finished up poster
		+	* Created structure for my paper and added a rough outline
		+
		+	===Tuesday (7/24/18)===
		+	* Looked at simply moving code into better model to obtain results
		+	* Tweaked code to try to get results
		+
		+	===Wednesday (7/25/18)===
		+	* Added rough introduction to paper
		+	* Worked on debugging code
		+
		+	===Thursday (7/26/18)===
		+	* Worked on debugging code
		+
		+	===Friday (7/27/18)===
		+	* Worked on debugging code
		+	* Added new sections to paper
	==Week 9: July 30th, 2018==		==Week 9: July 30th, 2018==
		+	===Monday (7/30/18)===
		+	* Began final presentation preperation
		+	* Finally obtained results from better model, but results were unexpected, even from model without URL inclusion
		+
		+	===Tuesday (7/31/18)===
		+	* Finished presentation and practiced with fellow REU students
		+	* Worked on paper
		+
		+	===Wednesday (8/118)===
		+	* Final REU presentations
		+
		+	===Thursday (8/2/18)===
		+	* Worked on paper
		+
		+	===Friday (8/3/18)===
		+	* Worked on paper

---

Latest revision as of 16:21, 3 August 2018

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)

• Worked on week 3 of Coursera

Week 5: July 2nd, 2018

Monday (7/2/18)

• Finished week 3 of Coursera

Tuesday (7/3/18)

• Added to code ability to export data taken from URL's into csv's

Wednesday (7/4/18)

• Brainstormed ways in which to include sentiment score from the URL's into the final prediction model
• LaTeX presentation, plus some further research to try to familiarize myself with it

Thursday (7/5/18)

• Started week 4 of Coursera

Friday (7/6/18)

• Worked on transferring files to lab computer and configuring applications to run sentiment extractor on them
• Read through 'Twitter Mood Predicts the Stock Market' and summarized

Week 6: July 9th, 2018

Monday (7/9/18)

• Began learning about tweepy and setting up a twitter application
• Finalized lab computer prep, just require certain packages to be installed

Tuesday (7/10/18)

• Read different articles to see which parts of the text were more important to a sentiment score
• Started creating personalized sentiment analyzer using the Loughran and McDonald Sentiment Word List

Wednesday (7/11/18)

• Researched creating sentiment analyzers
• Worked on the sentiment analysis code

Thursday (7/12/18)

• Met with Advisor
• Worked on note sheet from readings
• Started looking at Naive Bayes Classification tutorial

Friday (7/11/18)

• Continued researching and understanding sentiment analysis model

Week 7: July 16th, 2018

Monday (7/16/18)

• Began working on Poster, formed template and structure
• Decided with the limited time left in program, the creation of a personalized sentiment model is improbable

Tuesday (7/17/18)

• Reviewed papers that I had read and updated summaries of them
• Worked on the URL code in forecasting model

Wednesday (7/18/18)

• Continued to work to get results in forecasting model

Thursday (7/19/18)

• Added related works table to poster
• Added ideas to most other sections of poster
• Debugged the weighting of URL sentiment in model

Friday (7/20/18)

• Finally obtained results and included them in poster
• Began working to include URL sentiment on the better model developed last year

Week 8: July 23rd, 2018

Monday (7/23/18)

• Finished up poster
• Created structure for my paper and added a rough outline

Tuesday (7/24/18)

• Looked at simply moving code into better model to obtain results
• Tweaked code to try to get results

Wednesday (7/25/18)

• Added rough introduction to paper
• Worked on debugging code

Thursday (7/26/18)

• Worked on debugging code

Friday (7/27/18)

• Worked on debugging code
• Added new sections to paper

Week 9: July 30th, 2018

Monday (7/30/18)

• Began final presentation preperation
• Finally obtained results from better model, but results were unexpected, even from model without URL inclusion

Tuesday (7/31/18)

• Finished presentation and practiced with fellow REU students
• Worked on paper

Wednesday (8/118)

• Final REU presentations

Thursday (8/2/18)

• Worked on paper

Friday (8/3/18)

• Worked on paper