1. AAPL20 Pos 2-Level pTrees Index by (Term,Doc) Pred = npz; Stride=5
check course custom out peeps trade $AAPL $FB $TWTR
DOC 13 1 14 15 23 56 79 87 90 96
DOC1 AAPL helping her hype iwatch moments sensitive T#
Lev1
Lev0 2 1 19 20 33 36 46 68
course info more visit $AAPL $FB $TWTR
DOC 14 1 34 48 87 90 96 83 24
custom keep losing market money program sign today trade up $AAPL$FB $TWTR
DOC4 15 1 38 42 47 60 70 43 26 78 80 87 90 79 96
course custom peeps trade $AAPL $FB $TWTR
DOC 14 1 28 79 90 96 87 15 56
all happy new peeps prosperous safe year $AAPL $FB $TWTR
DOC6 5 1 50 61 86 87 65 18 56 90 96
Course peeps take trade $AAPL $FB $TWTR
DOC7 14 1 56 79 90 96 87 22 76
alerts multi-day peeps runners stock $AAPL $FB $TWTR
DOC8 4 1 29 64 87 90 72 49 56 96
alerts day pass trade $AAPL $FB $TWTR
DOC 4 1 16 21 54 79 87 90 96
alerts day pass trade $AAPL $FB $TWTR
DOC 4 1 16 21 54 79 87 90 96
course mentor online street trade $AAPL $FB $TWTR
DOC11 14 1 25 44 52 73 79 87 90 96
might reasons shares Starbucks three $AAPL $DNKN $GMCR $GOOG
DOC12 1 30 45 62 69 71 77 87 89 91 92
alerts big peeps sign trade up week winners $AAPL $BAC $FB $TWTR
DOC 4 1 8 29 56 70 79 80 84 85 87 88 90 96
Alerts join list out sign stock today up $AAPL $FB $TWTR
DOC14 4 1 29 37 40 53 70 72 78 80 87 90 96
chart looking nice peeps play swing trade value $AAPL $FB $JAKK $TWTR
DOC15 12 1 41 32 51 56 58 75 79 81 87 90 94 96
day pay run subs trade $AAPL $BAC $FB $TWTR
DOC16 16 1 27 55 96 98
100 90 88 87 79 74 63
Alerts lessons peeps sign trade up video week $AAPL $FB $TWTR
DOC17 4 1 29 39 84 87 90 82 80 79 70 56 96
course send trade $AAPL $FB $TWTR 0.75
DOC18 14 1 17 67 97 96 90 87 79
area breakout nice run today $AAPL $FB $IDRA $TWTR 3.5
DOC19 7 1 10 51 96 99 93 90 87 78 63
Kphrase (in sequence) and Kset pTrees: Ksets are created by OR-ing the kTerm pTrees. Note 2PhraseStartPos pTrees would involve #docs*#Words*#Words*#Pos cells so it could be too massive even for pTree technology! Terms=1Terms. Use downward closure (of ARM) to facilitate fast pTree creation for kPhrases from .
We’ll select “content” kPhrases and create Position pTrees for them (with start positions). Since tweets are short and the vocab is long, it might be best to do this by just scanning the tweets by hand? I selected the following content 2phrases from AAPL20:
custom trade; losing money; stock alert; multi-day runners; trade alerts; online trade; street mentor; daily chart; nice run; investor call; big winners; trade courses; nice breakout; customer trade; bond sale; trade mentorship; new year; daily alerts; value play.
Each word in a content kphrase must be a content Term and be selected as a content kphrase (ALA, ARM downward closure). At the kth step we construct candidate content kphrases from pairs of content (k-1) pairs that coincide on (k-2) terms. Then delete all such kphrases that are non-content and/or have zero count.
AAPL ahead bond call investor plans potential sale $AAPL
DOC 2 1 3 9 59 66 57 35 31 11 87
Wds 87,88 #BAC) in doc16, pos=17,18

2. AAPL20
Kphrases (in sequence): KSets (OR ofTerm pTrees) used like keyword lists (create on the fly?). For kphrases, use downward closure to facilitate fast pTree creation for kPhrases
Select “content” kPhrases (StartPosition pTree = 1st Term SP) I selected these from AAPL20 by hand: sensitive moments, iwatch helping, helping hype, hype AAPL, custom trade; losing money; stock alert; multi-day runners; trade alerts; online trade; street mentor; daily chart; nice run; investor call; big winners; trade courses; nice breakout; customer trade; bond sale; trade mentorship; new year; daily alerts; value play.
DOC1 Sensitive moment her iwatch helping hype AAPL sensitive-moments iwatch-helping hype-AAPL T#
Lev1
Lev0 2 1 19 20 33 36 46 68
68
&46=
So we might just indicate in the header if a Term launches a Content2Phrase, Content3Phrase, … as follows:
Phrases: T#
DOC13 sign up trade alerts course big winners week $FB $AAPL $TWTR peeps
Lev1
Lev0 70 1 80 79 4 14 8 85 84 29 90 87 96 56
Phrases: T#
DOC1 Sensitive moment her iwatch helping hype AAPL
Lev1
Lev0 2 1 19 20 33 36 46 68
Observations:
On the previous page I sorted using a software that put the terms in a strange order (which is not a problem since we fully shuffle pTree placements anyway for our pTreeSet Security Mechanism anyway).
However on this page I put them in position order so we could indicate phrases easily. If we shuffle, the phrase array can be as shown here and matched up to the Term list after retrieval.
Also note that I discovered many errors on the previous page (sorry – too lazy to go through and correct them all). 13 1 53
Phrases: T#
DOC2 Check out custom trade course $AAPL $TWTR peeps
Lev1
Lev0 15 79 14 87 96 56
Phrases: T#
DOC12 $SBUX three reasons starbucks shares might $SBUX $AAPL $GOOG $DKDN $$GMCR
Lev1
Lev0 1 77 62 71 69 45 30 95 87 92 89 91
1. At one of those sensitive moments
2. Check out my custom trading mentorship
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4. Keep losing money in the market?
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12. $SBUX Three Reasons Starbucks Shares Might
13. Sign up for our trading alerts
14. Hot list of stocks out today
15. Nice looking daily chart on $JAKK
16. Been a nice run for sub's
17. Sign up for our daily trading
18. Send me an for the
19. $IDRA could run to the $3.50
20. $AAPL Apple plans investor call ahead
give her a iwatch helping the
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visit us here: https $FB $AAPL
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of a potential bond sale: WSJ
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Pos