Minh Le (Work Log)

2018-07-06:

Review Augi's classified training data to make sure it meets the correct requirement.
Continued studying machine learning models and neural nets

2018-07-05:

Studied different machine learning models and different classifier algorithms to prepare to build the RNN.
Worked on classifying more training data.

2018-07-03:

Ran a 0.84 classifier on the newly crawled data from the Chrome driver. From observation, the data still was not good enough. I will started building the RNN
Still waiting Augi to release lock on the new excel data so i can work on it.

2018-07-02:

Why did the code not run while I logged out of RDP omg these codes were running for so 3 hours last time I logged off :(
The accuracy got to 0.875 today with just the new improved word list, which I thought might have overfitted the data. This was also rare because I never got it again
Ran the improved crawler again to see how it went. (The ran start at 10AM ~It has been 5 hours-ish and it only processes the 50% of the list)
After painfully seeing firefox crawling (literally) through webpages, I had installed the chromedriver in the working folder and changed the DemoDayCrawler.py back to Chrome Webdriver
It seems like Firefox has a tendancy to pause randomly when i don't log into rdp and keep an eye on it. Chrome resolves this problem

2018-06-29:

Delegated Augi to work on building the training data.
Started to work on the classifier by studying machine learning models
Edited words.txt with new words and remove words that i don't think help with the classification. Removed: march/ Added: rundown, list, mentors, overview, graduating, company, founders, autumn.
The new words.txt had increased the accuracy from 0.76 to 0.83 in the first run
The accuracy really fluctuated. Got as low as 0.74 but the highest run has been 0.866
Note: testing inside of KyranGoogleClassifier instead of the main folder because the main folder was testing out the new improved crawler.
It also seemed that rundown and autumn is the least important with 0.0 score so I removed them

2018-06-28:

Continued to find more ways to optimize the crawler: adding several constraints as well as blacklist websites like Eventbrite, LinkedIn and Twitter. Needed to figure out a way to bypass Eventbrite's time expire script. LinkedIn required login before seeing details. Twitter's post was too short and frankly distracting.
Ran improved results on the classifier.
Classified some training data.
Helped Grace debug the LinkedIn Crawler.

2018-06-27:

Worked on optimizing and fixing issues with the crawler.
It was observed that we may not need to change our criteria for the demo day pages. The page containing cohort list often includes dates (which is a data we now need to find). I might add more words to the words bag to improve it further but it seems unnecessary for now

2018-06-26:

Finished running the Analysis code (for some reasons the shell didn't run after i logged off of RDP
Talked to Ed about where to head with the code
Connected the 2 projects together: got rid of Kyran's crawler and Peter's analysis script for now (we might want the analysis code later on to see how good the crawler was)
Ran on the list of accelerators Connor gave me. Got mixed results (probably because the 80% is low) and we had to deal with website with expire timestamp like Eventbrite (the html showed the list, but displaying the html in the web browser doesn't). Found a problem that the crawler only get the number of results of the first page so if we want to gather large numbers of result, it would not work.

2018-06-25:

Fixed Peter's Parser's compatibility issue with Python3. All code can now be used with Python 3
Ran through everything in the Parser on a small test set.
Completed moving all the files.
Ran the Parser on the entire list.
The run took 3h45m to execute the crawling (not counting the other steps) with 5 results per accelerators
Update @6:00PM The Analysis has been taking an hour and 30m to run and only 80% done. I need to go home now but these steps are taking a lot of time

2018-06-22:

Moved Peter's Parser into my project folder. Details can be read under the folder "E:\McNair\Projects\Accelerator Demo Day\Notes. READ THIS FIRST\movelog".
The current Selenium version and Chrome seem to hate each other on the RDP (throwing a bunch of errors on registry key), so I had to switch to a Firefox webdriver. Adjusting code and inserting a bunch of sleep statements.
For some reason (yet to be understood) if I save HTML pages with the utf-8 encoding, it will get mad at me. So commented that out for now.
The code seemed slow compared to those existed in Kyran's project. Might attempt to optimize and parallelize it?
it seems that python 3 does not support write(stuff).encoding('utf-8')?

2018-06-21:

Continued reading through past projects (it's so disorganized...)
Moved Kyran's Google Classifier to my project folder. Details can be read under the folder "Notes. READ THIS FIRST\movelog".
Tried running the Classifier from a new folder. The Shell crashed once on the web_demo_feature.py
Ran through everything in the Classfier. Things seemed to be functioning with occasional error messages
Talked to Kyran about the project and clarified some confusions up
Made a to-do list in the general note file ("Notes. READ THIS FIRST\NotesAndTasks.txt")

2018-06-20:

Set up Work Log page.
Edited Profile page with more information.
Created project page: Accelerator Demo Day.
Made new project folder at E:\McNair\Projects\Accelerator Demo Day.
Read through old projects and started copying scripts over as well as cleaned things up.
Created movelog.txt to track these moving details.
Talked to Ed more about the project goals and purposes

2018-06-19: More SQL. Talked to Ed and received my project (Demo Day Crawler).

2018-06-18: Set up RDPs, Slacks, Profile page and learned about SQL.

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