Matching Events by Location, Time, and Type (MELTT). Newly released on CRAN! This software package, authored by Karsten Donnay and Eric Dunford, is a framework for merging and disambiguating event data based on spatiotemporal co-occurrence and secondary event characteristics. MELTT can account for intrinsic "fuzziness" in the coding of events, varying event taxonomies and different geo-precision codes. References: Karsten Donnay, Eric Dunford, Erin C. McGrath, David Backer, David E. Cunningham. (2016). "MELTT: Matching Event Data by Location, Time and Type." Paper presented at Annual Conference of the Midwest Political Science Association, April 7-10 2016, Chicago.
Some Resources for Text Analysis
- PDF OCR X is an easy user interface for tesseract OCR-engine to make .pdfs searchable or create plain text files (60+ languages!)
- txtorg is a "Python-based utility that leverages Apache Lucene to facilitate text preprocessing and management" that helps you work with large amounts of data in many languages and organize it for your chosen analysis, especially for STM
- Structural Topic Modeling (STM) for an unsupervised topic modeling that allows metadata to be included in the analysis but does not force the researcher to predetermine the role that they play (i.e. title, date, organization, chapter, attribute, etc.)
Other Useful Tools
#1: Leechblock for improving your focus. You can block yourself from unblocking the blocks you've pre-established to limit distractions during your working hours. Put an end to procrastination (or start a website).
#2: GoodReader is an app for iPad (if you've been forced to go paperless) for organizing and annotating your articles (and it syncs with remote servers like DropBox). I still hate reading on tablets, but I love saving trees.
#3: XMind for structured outlines; #4: Scapple for free-form doodling outlines.