Committee Speeches from the Science and ICT Committee (22nd Assembly)

Full corpus of 15,795 speech records from the Science, Technology, Information, Broadcasting and Communications Committee of the 22nd Korean National Assembly (2024). Standing committee meetings only.

Usage

speeches

Format

A data frame with 15,795 rows and 10 variables:

assembly: Assembly number (22)
date: Date of the committee meeting
committee: Committee name in Korean
speaker: Speaker label as it appears in the minutes (may include titles)
role: Speaker role: "legislator", "chair", "minister", "vice_minister", "senior_bureaucrat", "agency_head", "witness", "expert_witness", "nominee", "minister_nominee", "testifier", "public_corp_head", "broadcasting", "committee_staff"
speaker_name: Cleaned speaker name with titles removed
member_id: Legislator identifier (MONA_CD, links to legislators$member_id) for the 12,060 speeches by members of the Assembly. NA for other speakers (ministers, witnesses, and the heads of other bodies).
speaker_id: Numeric speaker identifier used in the committee minutes, which versions up to 0.1.3 stored in member_id. NA for speakers who are not members of the Assembly.
speech_order: Order of the speech turn within the meeting
speech: Full text of the speech in Korean

Source

National Assembly committee minutes via the Open National Assembly Information API.

Details

This dataset contains the complete standing committee speech records (no sampling) for the Science and ICT Committee of the 22nd assembly (June-December 2024). Speeches shorter than 50 characters were excluded. date and speech_order identify a speech, except on 2024-06-25, when two meetings were held and eight speech_order values occur twice.

Up to version 0.1.3, member_id held the numeric speaker identifier of the minutes, so it did not link to legislators$member_id, and 48 speeches of 2024-08-14 appeared twice under two speaker identifiers. Version 0.1.4 attaches the MONA_CD through the member records of release 0.7.0 of the kna project and drops the duplicates.

The role variable distinguishes legislators from government officials, witnesses, and other participants. Filter to role == "legislator" for MP speeches only, or compare how legislators and ministers discuss the same agenda items.

This committee covers AI, telecommunications, broadcasting, space policy, and R&D governance, making it suitable for keyword analysis, topic modeling, and other text analysis exercises.

Examples

data(speeches)

# Distribution of speech lengths
hist(nchar(speeches$speech), breaks = 100,
     main = "Speech Length Distribution", xlab = "Characters")


# Speaker roles
table(speeches$role)
#> 
#>       agency_head      broadcasting             chair   committee_staff 
#>                31                46              3821                27 
#>    expert_witness        legislator          minister  minister_nominee 
#>               720              9050               196               151 
#>           nominee  public_corp_head senior_bureaucrat         testifier 
#>               349               187                62                77 
#>     vice_minister           witness 
#>                70              1008 

# Most frequent legislator speakers
leg <- speeches[speeches$role == "legislator", ]
head(sort(table(leg$speaker_name), decreasing = TRUE), 10)
#> 
#>   김현 노종면 최형두 이훈기 이정헌 한민수 황정아 김우영 조인철 이준석 
#>   1105    826    717    630    576    527    512    503    491    384 

# Simple keyword search (example: AI-related speeches)
ai <- speeches[grepl("AI", speeches$speech), ]
nrow(ai)
#> [1] 294