1. Key output and findings D.K. & B.L.
CATPAC & LIWC
Key output and findings
D.K. & B.L.

2. How CATPAC is Used Reads text to identify most important words
Can determine patterns of similarity
Produces simple frequency counts
The neural network is self-organizing
Finds patterns of usage between words
Uses clustering algorithms
Produces perceptual maps

3. CATPAC frequencies TOTAL WORDS 300 THRESHOLD 0.000
TOTAL UNIQUE WORDS RESTORING FORCE
TOTAL EPISODES CYCLES
TOTAL LINES FUNCTION Sigmoid ( )
CLAMPING Yes
DESCENDING FREQUENCY LIST ALPHABETICALLY SORTED LIST
CASE CASE CASE CASE
WORD FREQ PCNT FREQ PCNT WORD FREQ PCNT FREQ PCNT
I A
A ABOUT
MY ALL
I'M AM
FOR BE
AM CAN
BE FOR
YOU HAVE
OUT I
KNOW I'M
HAVE KNOW
ME LIFE
ON LOVE
SOMEONE ME
WITH MY
LIFE NO
LOVE NOT
NOT ON
SHOULD OUT
SO SHOULD
ABOUT SO
ALL SOMEONE
CAN WHAT
NO WITH
WHAT YOU
CATPAC frequencies

4. Dendogram output WARDS METHOD
A M H Y I N I A O S S W A N K W A M C L B S F L O
. Y A O ' O . B U O O I L O N H M E A O E H O I N
. . V U M T . O T . M T L . O A . . N V . O R F .
. . E U . . E H . . W T E . U . E .
T . . O L . . .
N D . . . E
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Dendogram output

5. CATPAC 3-D Perceptual Map

6. Operating Issues with CATPAC
Exclude dictionary: must amend the default and save or create in correct format
Text input: separating multiple texts requires insertion of a slide barrier
Refining the exclude list and analysis settings can be a long, incremental process
The 3-D visualizing is cluttered for larger numbers of terms

7. Linguistic Inquiry and Word Count
Provide an effective method for studying emotional/cognitive/structural/process components present in individuals’ verbal and written speech
Calculates % of words that match of up to 84 dimensions
Generates an output that is readable by SPSS or Excel

8. LIWC / output variables
Text files, once formatted for entry, are processed for up to 84 output variables, including:
17 standard linguistic dimensions (e.g., word count, percentage of pronouns, articles)
25 word categories tapping psychological constructs (e.g., affect, cognition)
10 dimensions related to "relativity" (time, space, motion)
19 personal concern categories (e.g., work, home, leisure activities)

9. LIWC / How to…
For best results -> prepare text for analysis (adjust misspellings, inappropriate words, abbreviations)
Adjusting words can be tricky… e.g.: US -> U.S.
Sometimes used to analyze oral conversations/interviews -> transcribe speech to text -> dictionary includes some “nonfluencies” (e.g.: hm, uh, huh, um)
Analyzes data one file at a time
Files: TEXT or ASCII format! Can’t read word document
The longer the document, the better

10. LIWC / dictionaries Only counts words that are in the dictionaries
default dictionary: Internal Pennebaker Dictionary -> 2300 words
But you can develop your own dictionary!
To create dictionary: choose “load new dictionary” from the “dictionary” menu
Dictionaries have to be plain text files

11. LIWC output with standard linguistic dimensions