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[[Harrison Brown]] [[Work Logs]] [[Harrison Brown (Work Log)|(log page)]]
09/07/2017 2:20pm-311-01:50pm - Set Up Work Log Pages, Slack, Microsoft Remote Desktop*Looked at Oliver's code. Got git repository set up for the project on Bonobo. Started messing around with reading the XML documents in Java.
09/11/2017 1pm-5pm 10- Met with Dr. Egan 30:*Worked on seeing what data can be gathered from the CSV and got assigned projectXML files. Set Up Project Page USITC, Started Coding in Python for the Web Crawler. Look in McNair/Projects/UISTC project page for project notes and code.
09/13/2017 1pm-310-26:50pm - Worked on parsing *Met with Ed to talk about the USITC website Section 337 Notices. Nearly have all direction of the data I can scrapeproject. Scraper works, but there are a few edges cases where Starting to work on extracting information in from the tables are part of a Notice but do not have Investigation NumbersXML files. Will finish this hopefully next timeWorking on adding documentation to wiki and work log. Also added my USITC project to the Looking into work from other projects page I did not have it linkedthat may use XML.
09/14/2017 1pm-310-25:50pm - Have *Found information about a python program USITC database that can scrape we could use. Added this information to the entire webpage wiki, and navigate through all of the pages that contain section 337 documents. You can see these files and more updated information on the USITC project wiki 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.
09/18/2017 1pm-510-19:00pm - Added features *Continued to python program look into NLTK. Talked with Ed about looking into alternative approaches 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 gathering this next timedata.
09/20/2017 1pm- 310-18:50pm - Got connected *Trying to figure out the database server and mounted best way to extract respondents from the drive onto my computerdocuments. Got the list of all the PDFS on the website and started a shell script on the database server to download all of the PDFsRight now using exclusively NLTK will not get us any more accuracy that using regular expressions. I Currently neither will leave it running overnight hopefully it completes by tomorrowallow us to match every entity correctly so trying to figure out alternate approaches.
09/20/2017 1pm- 210-16:30pm - Shell program did not work*NLTK** NLTK Information*** Need to convert text to ascii. Create Python program Had issues with my PDF texts and had to convert*** Can use sent_tokenize() function to split document into sentences, easier that can catch all exceptions regular expressions*** Use pos_tag(url does not exist, lost connection, and improperly formatted url) Hopefully it will complete with no problemsto tag the sentences. This program is found in 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 database server under documents. We looked into tools Geograpy and GeoText. Geograpy does not have the USITC folderfunctionality that we would like. GeoText looks to be better but we have issues with dependencies. Will try to resolve these next time.
09/25/2017 1pm- 510-11:00pm - Got 3000 PDFS downloaded. Script works. Completed a task *Started to get emails use NLTK library for people who had written papers about economics and entrepreneurshipgathering information to extract respondents. Started work on pasring the PDFS to textSee code in Projects/USITC/ProcessingTexts
09/27/2017 1pm- 3:50pm - Got the PDFS parsed to text. Some of the formatting is off will need to determine if data can still be gathered.  09/28/2017 1pm- 3:50pm - 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. 10/02/2017 1pm- 5:00pm - Started work with ArcGIS. Got the data with startups from Houston into the ArcGIS application. For notes see McNair/Porject/Agglomeration 10/04/2017 1pm- 305:50pm - Worked with Peter on connecting ArcGIS to the database and displaying different points in ArcGIS 10/05/2017 1pm- 3:50pm - *Made photos for the requested maps in ArcGIS with Peter and Jeemin.
To access:
Go to E:\McNair\Projects\Agglomeration\HarrisonPeterWorkArcGIS
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
10/11/2017 1pm- 3:50pm - Started to use NLTK library for gathering information to extract respondents. See code in Projects/USITC/ProcessingTexts
2017-10/16/2017 1pm - 504:00pm - NLTK* NLTK Information** Need Worked with Peter on connecting ArcGIS to convert text to ascii. Had issues with my PDF texts the database and had to convertdisplaying different points in ArcGIS ** Can use sent_tokenize() function to split document into sentences, easier that regular expressions2017-10-02:** Use pos_tag() to tag Started work with ArcGIS. Got 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 startups from the documents. We looked Houston 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 timeArcGIS application.For notes see McNair/Porject/Agglomeration
10/18/2017 1pm - 309-28:50pm Trying *Helped Christy with set up on Postgres server. Looked through text documents to figure out see what information I could gather. Looked at Stanford NLTK library for extracting 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.
10/19/2017 1pm - 309-28:50pm Continued *Got the PDFS parsed to look into NLTKtext. Talked with Ed about looking into alternative approaches Some of the formatting is off will need to gathering this determine if datacan still be gathered.
10/25/2017 1pm - 309-25:50pm Found information about *Got 3000 PDFS downloaded. Script works. Completed a USITC database that we could use. Added this information task to the wiki, get emails for people who had written papers about economics and updated information entrepreneurship. Started work on USITC wiki page.pasring the PDFS to text
10/26/2017 1pm - 309-20:50pm Met *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 Ed no problems. This program is found in the database server under the USITC folder. *Got connected to talk about the direction database server and mounted the drive onto my computer. Got the list of all the project. Starting to work PDFS on extracting information from the XML files. Working website and started a shell script on adding documentation the database server to wiki and work logdownload all of the PDFs. Looking into work from other projects that may use XMLI will leave it running overnight hopefully it completes by tomorrow.
10/30/2017 1pm - 509-17:00pm *Added features to python program to pull the dates in numerical form. Worked on seeing what data can be gathered pulling the PDFs from the CSV website. Currently working on pulling them in Python. The program can run and XML filespull PDFs on my local machine but it doesn't work on the Remote Desktop. Started project page for projectI will work on this next time.
11/31/2017 1pm - 309-14:50pm Looked at Oliver's code*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. Got git repository set up 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 on Bonobo. Set Up Project Page USITC, Started messing around with reading Coding in Python for the XML documents Web Crawler. Look in JavaMcNair/Projects/UISTC for project notes and code2017-09-07: Set Up Work Log Pages, Slack, Microsoft Remote Desktop
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[[Category:Work Log]]

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