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Enhanced Text Analysis Report for: input/transcripts.txt
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--- Basic Statistics ---
Total Word Count (raw): 1174846
Total Sentence Count: 6250
Unique Lemmatized Words (filtered): 19470
Average Word Length: 4.13

--- Readability Scores ---
Flesch Reading Ease: -91.37 (Higher is easier)
Flesch-Kincaid Grade Level: 69.52210784670227
Gunning Fog Index: 73.57
SMOG Index: 27.095053311673546

--- Sentiment Analysis ---
Polarity: 0.16 (Ranges from -1 [negative] to +1 [positive])
Subjectivity: 0.48 (Ranges from 0 [objective] to 1 [subjective])

--- Discovered Topics (LDA, 10 topics) ---
Topic 1: 0.003*"get" + 0.002*"right" + 0.002*"one" + 0.002*"thing" + 0.002*"really"
Topic 2: 0.005*"right" + 0.005*"get" + 0.004*"thing" + 0.004*"use" + 0.004*"one"
Topic 3: 0.003*"get" + 0.002*"right" + 0.002*"one" + 0.002*"people" + 0.002*"thing"
Topic 4: 0.003*"get" + 0.002*"thing" + 0.002*"want" + 0.001*"right" + 0.001*"say"
Topic 5: 0.002*"right" + 0.002*"get" + 0.001*"one" + 0.001*"thing" + 0.001*"use"
Topic 6: 0.008*"get" + 0.006*"say" + 0.005*"one" + 0.005*"right" + 0.005*"see"
Topic 7: 0.003*"get" + 0.003*"right" + 0.002*"work" + 0.002*"thing" + 0.002*"well"
Topic 8: 0.013*"get" + 0.010*"right" + 0.009*"thing" + 0.008*"one" + 0.007*"use"
Topic 9: 0.002*"thing" + 0.002*"right" + 0.002*"one" + 0.002*"use" + 0.002*"get"
Topic 10: 0.002*"get" + 0.002*"right" + 0.001*"thing" + 0.001*"one" + 0.001*"want"

--- Top 50 Keywords (by TF-IDF score) ---
.: 656.8900
,: 610.4173
's: 396.5239
yeah: 299.8816
like: 269.1504
just: 179.4723
?: 177.6466
n't: 167.7144
right: 157.2627
're: 154.6886
know: 132.7690
'm: 119.0301
think: 118.7306
going: 115.9259
um: 111.1521
okay: 109.7511
uh: 107.4476
really: 89.7752
want: 86.1975
people: 83.5129
ai: 81.0737
code: 72.3600
need: 72.2920
things: 71.3144
``: 71.1328
let: 70.4690
'': 69.9018
use: 66.9437
thing: 64.9436
've: 60.9697
say: 60.3842
way: 57.0719
actually: 55.3144
kind: 55.1888
'll: 53.1636
make: 52.5716
time: 48.8635
lot: 48.3675
did: 48.3337
doing: 48.1141
does: 46.9783
work: 46.0855
oh: 42.2755
good: 41.7624
got: 40.3455
yes: 39.1358
-: 38.3283
job: 38.0819
look: 37.8637
mean: 37.4188

--- Top 50 Named Entities ---
AI (GPE): 1809
first (ORDINAL): 1294
one (CARDINAL): 1223
two (CARDINAL): 801
today (DATE): 711
AI (ORG): 422
second (ORDINAL): 306
three (CARDINAL): 289
Google (ORG): 232
Microsoft (ORG): 213
IP (ORG): 192
US (GPE): 176
four (CARDINAL): 171
API (ORG): 157
zero (CARDINAL): 150
third (ORDINAL): 144
five (CARDINAL): 136
GitHub (ORG): 130
LLM (ORG): 127
2025 (DATE): 124
YouTube (ORG): 116
Amazon (ORG): 115
Proxmox (NORP): 103
YouTube (PRODUCT): 98
10 (CARDINAL): 96
JavaScript (ORG): 94
Linux (PERSON): 92
UI (ORG): 91
six (CARDINAL): 86
Claude (PERSON): 83
LinkedIn (ORG): 81
LMS (ORG): 81
LinkedIn (GPE): 80
Discord (ORG): 75
Docker (PERSON): 75
20 (CARDINAL): 74
cursor (GPE): 74
GRC (ORG): 73
100% (PERCENT): 71
years (DATE): 70
GitHub (PRODUCT): 70
daily (DATE): 69
Kubernetes (ORG): 69
China (GPE): 68
NATO (ORG): 68
DNS (ORG): 67
UK (GPE): 64
SQL (ORG): 63
Immich (PERSON): 63
yesterday (DATE): 62

--- Top 30 Most Common Nouns (Lemmatized) ---
thing: 4388
people: 3207
work: 2784
use: 2721
youre: 2549
kind: 2270
time: 2256
security: 2217
way: 1985
software: 1871
code: 1819
system: 1754
something: 1744
job: 1740
lot: 1678
get: 1527
data: 1518
company: 1454
look: 1323
year: 1290
talk: 1259
tool: 1075
question: 923
ai: 922
day: 915
point: 913
help: 867
okay: 865
problem: 851
network: 837

--- Top 30 Most Common Verbs (Lemmatized) ---
get: 4707
say: 3310
want: 2895
make: 2448
see: 2382
take: 1676
need: 1448
come: 1388
ai: 1009
put: 872
look: 868
find: 856
run: 842
give: 821
try: 709
do: 679
build: 651
use: 642
go: 611
set: 600
start: 598
cyber: 574
keep: 567
think: 524
theres: 517
happen: 506
become: 437
learn: 424
know: 411
tell: 393

--- Top 30 Most Common Adjectives (Lemmatized) ---
right: 2547
good: 1729
different: 1197
new: 1167
much: 993
u: 979
little: 961
ive: 950
able: 877
big: 864
many: 862
great: 812
sure: 798
next: 785
first: 755
mean: 682
ai: 659
important: 637
give: 617
write: 615
okay: 598
real: 582
open: 527
last: 510
high: 490
easy: 468
key: 457
hard: 448
second: 413
small: 411

--- Top 50 Most Common Bigrams (Lemmatized) ---
cyber security: 816
little bit: 494
make sure: 489
software engineer: 386
one thing: 324
software engineering: 246
use ai: 226
would say: 220
lot people: 203
write code: 155
operate system: 154
gon na: 153
every single: 150
abstract power: 148
get job: 147
year ago: 146
take look: 145
really good: 145
want get: 142
make sense: 132
really really: 132
thank much: 130
ip address: 130
get get: 127
software development: 127
simply cyber: 125
youve get: 124
ai tool: 124
weve get: 123
want say: 121
low code: 121
job market: 119
there lot: 119
thing want: 117
say okay: 117
private sector: 116
home lab: 116
computer program: 116
number one: 115
kind thing: 114
come back: 113
want make: 109
well see: 109
one one: 107
try get: 107
many people: 106
youre get: 106
thing right: 106
open source: 104
first thing: 102

--- Top 50 Most Common Trigrams (Lemmatized) ---
abstract power hierarchy: 73
want make sure: 62
blah blah blah: 59
daily cyber threat: 36
every single day: 34
cyber threat brief: 34
cyber security professional: 31
physical cost function: 31
low code code: 31
make sure youre: 28
power control authority: 27
simply cyber community: 26
abstract power control: 26
use ai tool: 25
new order cross: 25
large language model: 24
palo alto network: 24
talk little bit: 24
become software engineer: 24
generalpurpose state machine: 23
brute force attack: 21
public private sector: 21
get cyber security: 20
10 year ago: 20
low code platform: 20
make sure get: 19
hold one second: 19
golden dome program: 19
local bank select: 19
id love hear: 18
spend lot time: 18
cyber community member: 18
one thing want: 17
zero trust architecture: 17
community member week: 17
simply cyber academy: 17
really really really: 17
click save change: 17
cyber security role: 16
denial service attack: 16
could use tool: 16
want say shout: 16
impose severe physical: 16
severe physical cost: 16
systemic exploitation abuse: 16
data structure algorithms: 16
take step back: 15
want say thank: 15
cyber security headline: 15
tech job market: 15

--- Top 50 Most Common Trigrams (Lemmatized) ---
daily cyber threat brief: 34
abstract power control authority: 24
blah blah blah blah: 23
simply cyber community member: 18
impose severe physical cost: 15
economic model cyber security: 12
cyber community member week: 12
aint nobody get time: 12
low code code platform: 12
five minute summarize open: 10
love see get get: 10
believe time grow together: 10
local bank select card: 10
information share act 2015: 9
minute summarize open statement: 9
get believe time grow: 9
physical cost function protocols: 9
episode daily cyber threat: 8
take deny default approach: 8
get get believe time: 8
power resource control authority: 8
physical cost function protocol: 8
cyber crime awareness education: 8
low code code tool: 8
click save change change: 8
save change change save: 8
take look topic cover: 7
exploit supply chain attack: 7
look forward question thank: 7
simply cyber daily cyber: 7
cyber daily cyber threat: 7
shred top cyber security: 7
top cyber security news: 7
cyber security news story: 7
security news story day: 7
also want say shout: 7
every single episode daily: 7
single episode daily cyber: 7
gon na gon na: 7
locker take deny default: 7
deny default approach cyber: 7
default approach cyber security: 7
see get get believe: 7
ive get ive get: 7
well see well see: 7
codify abstract power hierarchy: 7
abstract power resource control: 7
make sure youve get: 7
really really really really: 7
developer developer developer developer: 7

--- Top 50 Most Common Trigrams (Lemmatized) ---
simply cyber community member week: 12
blah blah blah blah blah: 12
get believe time grow together: 9
episode daily cyber threat brief: 8
get get believe time grow: 8
click save change change save: 8
five minute summarize open statement: 7
simply cyber daily cyber threat: 7
cyber daily cyber threat brief: 7
shred top cyber security news: 7
top cyber security news story: 7
cyber security news story day: 7
every single episode daily cyber: 7
single episode daily cyber threat: 7
locker take deny default approach: 7
deny default approach cyber security: 7
love see get get believe: 7
see get get believe time: 7
abstract power resource control authority: 7
take look topic cover today: 6
information share public private sector: 6
wendy whitmore chief security intelligence: 6
whitmore chief security intelligence officer: 6
jack cable ceo cofounder corridor: 6
minute summarize open statement chairman: 6
summarize open statement chairman green: 6
cyber information share act 2015: 6
burden end user small business: 6
security news story day ill: 6
news story day ill everything: 6
business email compromise attack rise: 6
email compromise attack rise entire: 6
compromise attack rise entire operation: 6
attack rise entire operation could: 6
rise entire operation could risk: 6
implement proven security standard protect: 6
proven security standard protect business: 6
security standard protect business cyber: 6
standard protect business cyber threat: 6
protect business cyber threat ensure: 6
business cyber threat ensure compliance: 6
cyber threat ensure compliance safeguard: 6
threat ensure compliance safeguard sensitive: 6
ensure compliance safeguard sensitive data: 6
compliance safeguard sensitive data theyve: 6
safeguard sensitive data theyve help: 6
sensitive data theyve help countless: 6
data theyve help countless organization: 6
theyve help countless organization strengthen: 6
help countless organization strengthen m365: 6