Dear KAAPA members,

I am excited to announce that KAAPA will host “Bootcamp for Textual Analysis using Python 3” in January 2019. Text analysis for empirical research is attracting greater attention from accounting researchers, but only a small number of researchers are using text analysis due to a high entry barrier. Therefore, KAAPA is hosting this Bootcamp for many scholars who would like to learn the basic text analysis.

1.      Date/Time: 9:00am - 11:00am, January 18 and 25 (Friday), US Eastern Standard Time (i.e., 11:00pm, January 18 and 25 - 1:00am, the next days, Korean time). We select this time because our KAAPA members are working not only in the U.S. but also in Asia and Europe.

2.      Format: Webinars using a Zoom platform. We used the Zoom meetings for a KAAPA webinar series successfully.

3.      Language: KOREAN. Most of KAAPA members use Korean as the first language, so they will be able to learn text analysis methods more efficiently in Korean.

4.      Instructor: Professor Hyunkwon Cho. He obtained a Ph.D. degree from University of Houston in 2018 and is working at Sejong University in Korea. He has several working papers that use advanced text analysis techniques, some of which have been used by only a few accounting/finance researchers. For example, his dissertation paper uses firm-level search records of the SEC filings of industry peers.

5.      Purpose: This Bootcamp intends to provide very basic knowledge about Python programming for textual analysis. Participants can use such knowledge as a starting point for developing their own programming skill. Note that text analysis for empirical research requires a lot of time to learn. Thus, this Bootcamp may not enable you to use text analysis in your research immediately. Instead, this Bootcamp intends to lower the entry barrier to the text analysis and help you learn the new techniques with fewer trials and errors.

6.      Course contents: The first session will cover the basics of Python programming for text analysis and the second will discuss practical examples for text analysis. The examples will include (1) downloading filings from EDGAR, (2) cleaning EDGAR filings for text analysis, and (3) constructing text-based measures such as keyword searches, readability, and tone. Professor Cho will provide all the program codes, input data, and instructions in advance. Participants will be required to preview the materials in advance because the Bootcamp will not cover all the details due to the limited time. We will post the materials around one week before the Bootcamp and share them with registrants.

7.      Registration: Only registered participants will be able to join the Bootcamp and access the Bootcamp materials. You can register the Bootcamp by filling in the online form at https://goo.gl/forms/P549YB0ToF4yxZkp1. The registration form requires a PayPal confirmation number for registration fee. See below the payment of registration fee.

8.      Registration fee (for the 2-day Bootcamp): The registration fee is $50 for regular members (faculty) and $25 for associate members (Ph.D. students). The registration fee is separate from the membership fee. You can pay the registration fee by PayPal or credit card at the following links.
Faculty registration fee $50: https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=MCZ2V2J8N7JML&source=url

Student registration fee $25: https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=4P5JKP5TE7SPS&source=url

We will send you another email when we share the Bootcamp materials with registrants. If you have any question on the Bootcamp, please do not hesitate to contact me.

Best,

Jay Junghun Lee

KAAPA President