Monday, March 31st
Split up Arkansas and Mississippi corpus into individual ad files using drsparser.py – Aaron
Write python script placetagger.py to tag places using Pyner in a folder of text files and save the results – Aaron
Tuesday, April 1st
Run placetagger.py on Arkansas, Mississippi, and Texas (Gazette and Telegraph) corpus – Aaron
Run placetagger.py on Mississippi corpus – Kaitlyn
Start looking over required readings from earlier in the semester for more information about trends in runaway destinations and connections among Texas, Mississippi, and Arkansas. Do additional readings if necessary – Clare
Wednesday, April 2nd – Friday, April 4th
Clean up Named Entity Recognitions results – Aaron and Kaitlyn
- Remove false positives
- As thoroughly as possible given the magnitude of the collection, scan through tagged documents for any obvious false negatives
- Tag each tagged location as a to or from, projected or real
Look over our data and outline the essay – Clare
Test drive Palladio and research other mapping options for displaying our place connections results – All
Saturday, April 5th – Sunday, April 6th
Analyze Named Entity Recognition results – All
If a lot of NER results:
- Research geocoding APIs to parse our NER results and generate latitude/longitude coordinates for all named places – Aaron
- Write script to generate coordinates for tagged locations and execute on our data – Aaron
Else:
- Manually search for and store coordinates – Kaitlyn
Draft the close reading essay – Clare
Write progress update for course blog – Aaron and Kaitlyn
Monday, April 7th – Tuesday, April 8th
Decide on how we want to display our place connectedness results – All
- How to display our results? Lines connecting the “to” coordinates (e.g. projected destination) and the “from” coordinates (e.g. coordinates of Houston for the Texas Register)? Something more individualized, at the ad-level? Collapse lines between cities or even states into single weighted lines by the number of that connection?
- Building onto the first question, how to indicate direction: different line shapes/colors? For example, if there is a Texas ad that says their runaway probably went to his family in Arkansas, how to we differentiate that from an Arkansas jailor notice for a runaway slave saying he is from Texas? Is it important at all for us to make this distinction? If not, we might do better with a map in the form of an undirected graph.
- How to separate projected runaway “to’s” (and guessed “from’s” for jailor’s notices, if ads like that exist) from actual “to’s” and “from’s”? Do we have much more of one type (real. vs guessed) — probably almost exclusively guessed locations?
Wednesday, April 9th – Friday, April 11th
Coordinate analysis and clean up – All
Re-assess rest of semester schedule in light of presentation format choices – All
Choose a mapping tool. Start building our map based on our decisions about to, from, projected, etc – All
Saturday, April 12th – Sunday, April 13th
Discuss our overall findings, and how our graphs and/or interactive tools share this information – All
Write and post progress report on course blog (by Monday) – All
Monday, April 14th – Wednesday, April 16th
Begin Methods page – Aaron and Kaitlyn
Begin Conclusions page, including followup questions and summary of findings – Clare
Finish our map and other graphics – All
Thursday, April 17th – Sunday, April 20th
Write and post progress report – All
Finish Methods page – Aaron and Kaitlyn
Finish Conclusions page – All
Monday, April 21st – Friday, April 25th
Finalize website pages – All
Throughout, Clare will re-work the essay in light of any new info.
