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===Fall 2017 Work===09/07/2017 2:20pm-311-29:50pm *Got the tab- Set Up Work Log Pages, Slack, Microsoft Remote Desktopdelimited text files written for USITC data. Added detail to project page.
09/2017-11/2017 1pm-5pm 29:*Finishing up converting JSON to tab- Met with Dr. Egan and got assigned project. Set Up Project Page delimited text, see USITC, Started Coding in Python for the Web Crawler. Look in McNair/Projects/UISTC for project notes and codeJSON_scraping_python. Worked on creating images with ArcGIS
09/13/2017 1pm-311-13:50pm - *Worked on parsing the USITC website Section 337 Notices. Nearly have all of the data I can scrape. Scraper works, but there are a few edges cases where information in the tables are part of a Notice but do not have Investigation Numbers. Will finish this hopefully next time. Also added my USITC project getting JSON to the projects page I did not have it linkedtab-delimited text
09/14/2017 1pm-311-01:50pm - Have a python program that can scrape the entire webpage and navigate through all of the pages that contain section 337 documents*Looked at Oliver's code. You can see these files and more information on Got git repository set up for the USITC project page. It can pull all of the information that is in the HTML that can be gathered for each case. The PDFs now need to be scraped; will start work on that next timeBonobo. Generated a csv file Started messing around with more than 4000 entries from reading the webpage. There is a small edge case I need to fix where the entry does not contain the Investigation NoXML documents in Java.
09/18/2017 1pm-510-30:00pm - Added features to python program to pull the dates in numerical form. *Worked on pulling the PDFs seeing what data can be gathered from the website. Currently working on pulling them in Python. The program can run CSV and pull PDFs on my local machine but it doesn't work on the Remote DesktopXML files. I will work on this next timeStarted project page for project.
09/20/2017 1pm- 310-26:50pm - Got connected *Met with Ed to talk about the database server and mounted direction of the drive onto my computerproject. Got the list of all the PDFS Starting to work on extracting information from the website and started a shell script XML files. Working on the database server adding documentation to download all of the PDFswiki and work log. I will leave it running overnight hopefully it completes by tomorrowLooking into work from other projects that may use XML.
09/20/2017 1pm- 210-25:30pm - Shell program did not work*Found information about a USITC database that we could use. Create Python program that can catch all exceptions (url does not exist, lost connectionAdded this information to the wiki, and improperly formatted url) Hopefully it will complete with no problems. This program is found in the database server under the updated information on USITC folderwiki page.
09/25/2017 1pm- 510-19:00pm - Got 3000 PDFS downloaded*Continued to look into NLTK. Script works. Completed a task Talked with Ed about looking into alternative approaches to get emails for people who had written papers about economics and entrepreneurshipgathering this data. Started work on pasring the PDFS to text
Harrison Brown (Work Log) (view source)
Revision as of 16:00, 30 November 2017
, 16:00, 30 November 2017→Fall 2017
===Fall 2017===
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[[Harrison Brown]] [[Work Logs]] [[Harrison Brown (Work Log)|(log page)]]
2017-10-18:
*Trying to figure out the best way to extract respondents from the documents. Right now using exclusively NLTK will not get us any more accuracy that using regular expressions. Currently neither will allow us to match every entity correctly so trying to figure out alternate approaches.
2017-10-16:
*NLTK
** NLTK Information
*** Need to convert text to ascii. Had issues with my PDF texts and had to convert
*** Can use sent_tokenize() function to split document into sentences, easier that regular expressions
*** Use pos_tag() to tag the sentences. This can be used to extract proper nouns
**** Trying to figure out how to use this to grab location data from these documents
*** Worked with Peter to try to extract geographic information from the documents. We looked into tools Geograpy and GeoText. Geograpy does not have the functionality that we would like. GeoText looks to be better but we have issues with dependencies. Will try to resolve these next time.
2017-10-11:
*Started to use NLTK library for gathering information to extract respondents. See code in Projects/USITC/ProcessingTexts
2017-10-05:
*Made photos for the requested maps in ArcGIS with Peter and Jeemin.
To access:
Go to E:\McNair\Projects\Agglomeration\HarrisonPeterWorkArcGIS
The photos can be found in there
To generate the photos open ArcMap with the beginMapArc file
To generate a PNG Click, File, Export to export the photos
To adjust the data right click on the table name in the layers lab, and hit properties, then query builder
2017-10-04:
*Worked with Peter on connecting ArcGIS to the database and displaying different points in ArcGIS
2017-10-02:
*Started work with ArcGIS. Got the data with startups from Houston into the ArcGIS application. For notes see McNair/Porject/Agglomeration
2017-09-28:
*Helped Christy with set up on Postgres server. Looked through text documents to see what information I could gather. Looked at Stanford NLTK library for extracting the respondents from the documents.
2017-09-28:
*Got the PDFS parsed to text. Some of the formatting is off will need to determine if data can still be gathered.
2017-09-25:
*Got 3000 PDFS downloaded. Script works. Completed a task to get emails for people who had written papers about economics and entrepreneurship. Started work on pasring the PDFS to text
2017-09-20:
*Shell program did not work. Create Python program that can catch all exceptions (url does not exist, lost connection, and improperly formatted url) Hopefully it will complete with no problems. This program is found in the database server under the USITC folder.
*Got connected to the database server and mounted the drive onto my computer. Got the list of all the PDFS on the website and started a shell script on the database server to download all of the PDFs. I will leave it running overnight hopefully it completes by tomorrow.
2017-09-17:
*Added features to python program to pull the dates in numerical form. Worked on pulling the PDFs from the website. Currently working on pulling them in Python. The program can run and pull PDFs on my local machine but it doesn't work on the Remote Desktop. I will work on this next time.
2017-09-14:
*Have a python program that can scrape the entire webpage and navigate through all of the pages that contain section 337 documents. You can see these files and more information on the USITC project page. It can pull all of the information that is in the HTML that can be gathered for each case. The PDFs now need to be scraped; will start work on that next time. Generated a csv file with more than 4000 entries from the webpage. There is a small edge case I need to fix where the entry does not contain the Investigation No.
2017-09-13:
*Worked on parsing the USITC website Section 337 Notices. Nearly have all of the data I can scrape. Scraper works, but there are a few edges
*cases where information in the tables are part of a Notice but do not have Investigation Numbers. Will finish this hopefully next time. Also added my USITC project to the projects page I did not have it linked
2017-09-11:
Met with Dr. Egan and got assigned project. Set Up Project Page USITC, Started Coding in Python for the Web Crawler. Look in McNair/Projects/UISTC for project notes and code.
2017-09-07:
Set Up Work Log Pages, Slack, Microsoft Remote Desktop
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[[Category:Work Log]]
