AAPL20 Position 2-Level pTrees Index by (Term,Document) Predicate= npz; Stride=5DOC1 AAPL helping her hype iwatch moments sensitive T#Lev1

Lev0

20010

00010

19 0 0 1 0

1 0 0 0 0

20 0 1 0 0

0 0 1 0 0

33 0 0 1 0

0 0 1 0 0

36 0 1 0 0

0 0 0 0 1

46 0 1 0 0

1 0 0 0 1

68 1 0 0 0

0 0 0 0 0

DOC2 https://t.co/gbgTQasq22 check course custom out peeps trade $AAPL $FB $TWTR 13 1 0 0 0

1 0 0 0 0

14 0 1 0 0

0 1 0 0 0

15 1 0 0 0

0 0 0 1 0

23 0 1 0 0

0 0 0 1 0

56 0 0 1 0

0 0 1 0 0

79 1 0 0 0

0 0 0 0 1

87 0 0 1 0

1 0 0 0 0

15 1 0 0 0

0 0 0 1 0

90 0 1 0 0

0 0 0 0 1

96 0 0 1 0

0 1 0 0 0

DOC3 https://t.co/JCchDkM3kZ course info more visit $AAPL $FB $TWTR14 0 1 0 0

1 0 0 0 0

34 1 0 0 0

0 0 1 0 0

48 1 0 0 0

0 1 0 0 0

87 0 0 1 0

0 1 0 0 0

90 0 0 1 0

1 0 0 0 0

96 0 0 1 0

0 0 1 0 0

83 0 1 0 0

0 1 0 0 0

24 0 1 0 0

0 0 0 0 1

DOC5 https://t.co/XRD1mBpDdE course custom peeps trade $AAPL $FB $TWTR

14 1 0 0 0

0 0 1 0 0

28 0 1 0 0

1 0 0 0 0

79 1 0 0 0

0 1 0 0 0

90 0 1 0 0

0 1 0 0 0

96 0 1 0 0

0 0 0 1 0

87 0 1 0 0

0 0 1 0 0

15 1 0 0 0

1 0 0 0 0

56 0 1 0 0

0 0 0 0 1

DOC6 all happy new peeps prosperous safe year $AAPL $FB $TWTR

51000

00001

50 1 0 1 0

0 1 0 0 0

61 0 1 0 0

0 0 0 0 1

86 1 0 1 0

0 0 1 0 0

87 0 0 0 1

0 1 0 0 0

65 0 1 0 0

0 0 1 0 0

18 1 0 0 0

1 0 0 0 0

56 0 0 0 1

0 0 0 1 0

90 0 0 0 1

1 0 0 0 0

96 0 0 0 1

0 0 1 0 0

01000

10000

DOC7 https://t.co/DOTIjn3zTh Course peeps take trade $AAPL $FB $TWTR

14 1 0 0 0

0 0 0 1 0

56 0 0 1 0

1 0 0 0 0

79 1 0 0 0

0 0 1 0 0

90 0 1 0 0

0 0 1 0 0

96 0 1 0 0

0 0 0 0 1

87 0 1 0 0

0 0 0 1 0

22 0 1 0 0

0 1 0 0 0

76 1 0 0 0

1 0 0 0 0

DOC8 https://t.co/ZcZhF2AWSE alerts multi-day peeps runners stock $AAPL $FB $TWTR41000

00100

29 0 1 0 0

0 1 0 0 0

64 0 1 0 0

1 0 0 0 0

87 0 1 0 0

0 0 0 0 0

90 0 1 0 0

0 0 0 0 0

72 1 0 0 0

0 1 0 0 0

49 1 0 0 0

0 0 0 0 1

56 0 0 1 0

1 0 0 0 0

96 0 1 0 0

0 0 0 0 0

DOC9 https://t.co/5rssX3gnPY alerts day pass trade $AAPL $FB $TWTR40100

10000

16 1 0 0 0

1 0 0 0 0

21 0 1 0 0

0 0 1 0 0

54 1 0 0 0

0 1 0 0 0

79 1 0 0 0

0 0 0 0 1

87 0 1 0 0

0 0 0 0 1

90 0 1 0 0

0 0 0 1 0

96 0 0 1 0

1 0 0 0 0

DOC10 https://t.co/5rssX3gnPY alerts day pass trade $AAPL $FB $TWTR40100

10000

16 1 0 0 0

1 0 0 0 0

21 0 1 0 0

0 0 1 0 0

54 1 0 0 0

0 1 0 0 0

79 1 0 0 0

0 0 0 0 1

87 0 1 0 0

0 0 0 0 1

90 0 1 0 0

0 0 0 1 0

96 0 0 1 0

1 0 0 0 0

DOC11 https://t.co/jGJNzj6I5i course mentor online street trade $AAPL $FB $TWTR14 1 0 0 0

0 0 1 0 0

25 0 1 0 0

0 1 0 0 0

44 0 1 0 0

1 0 0 0 0

52 1 0 0 0

1 0 0 0 0

73 1 0 0 0

0 0 0 0

79 1 0 0 0

0 1 0 0 0

87 0 1 0 0

0 0 0 1 0

90 0 1 0 0

0 0 1 0 0

96 0 1 0 0

0 0 0 0 1

DOC12 http://t.co/oZKXEI87ZK 2015 might reasons shares Starbucks three $AAPL $DNKN $GMCR $GOOG10100

00001

30 0 0 1 0

1 0 0 0 0

45 0 1 0 0

1 0 0 0 0

62 1 0 0 0

0 0 1 0 0

69 1 0 0 0

0 0 0 0 1

71 1 0 0 0

0 0 0 1 0

77 1 0 0 0

0 1 0 0 0

87 0 0 0 1

1 0 0 0 0

89 0 0 0 1

0 0 1 0 0

91 0 0 0 1

0 0 0 1 0

92 0 0 0 1

0 1 0 0 0

DOC13 https://t.co/ZcZhF2AWSE alerts big peeps sign trade up week winners $AAPL $BAC $FB $TWTR

40100

10000

80100

00100

29 0 0 1 0

0 1 0 0 0

56 0 0 0 1

1 0 0 0 0

70 1 0 0 0

1 0 0 0 0

79 1 0 0 0

0 0 0 0 1

80 1 0 0 0

0 1 0 0 0

84 0 0 1 0

1 0 0 0 0

85 0 1 0 0

0 0 0 1 0

87 0 0 1 0

0 0 0 1 0

88 0 0 0 0

0 0 0 0 0

90 0 0 1 0

0 0 1 0 0

96 0 0 1 0

0 0 0 0 1

DOC14 https://t.co/ZcZhF2AWSE Alerts join list out sign stock today up $AAPL $FB $TWTR40010

01000

29 0 0 1 0

0 0 0 1 0

37 0 0 0 1

0 0 1 0 0

40 1 0 0 0

0 1 0 0 0

53 1 0 0 0

0 0 0 0 1

70 0 1 0 0

0 1 0 0 0

72 1 0 0 0

0 0 0 1 0

78 0 1 0 0

1 0 0 0 0

80 0 1 0 0

0 0 1 0 0

87 0 0 0 1

1 0 0 0 0

90 0 0 1 0

0 0 0 0 1

96 0 0 0 1

0 1 0 0 0

DOC15 http://t.co/u8VxUQotTw chart looking nice peeps play swing trade value $AAPL $FB $JAKK $TWTR12 1 0 0 0

0 0 0 1 0

41 1 0 0 0

0 1 0 0 0

32 0 0 0 1

0 0 1 0 0

51 1 0 0 0

1 0 0 0 0

56 0 0 1 0

0 0 0 0 1

58 0 0 0 1

0 1 0 0 0

75 0 1 0 0

0 0 0 1 0

79 0 1 0 0

0 0 0 0 1

81 0 0 0 1

1 0 0 0 0

87 0 0 1 0

0 0 0 1 0

90 0 0 1 0

0 0 1 0 0

94 0 1 0 0

1 0 0 0 0

96 0 0 1 0

0 1 0 0 0

DOC16 https://t.co/vvdQfCSmj5 day pay run subs trade $AAPL $BAC $FB $TWTR 2.7 3.7716 0 0 1 0

0 0 0 0 0

27 0 0 0 1

0 0 0 0 1

55 0 0 1 0

0 0 0 1 0

96 0 0 0 1

1 0 0 0 0

98 0 1 0 0

0 0 1 0 0

100 0 0 1 0

1 0 0 0 0

90 0 0 0 1

0 0 0 1 0

88 0 0 0 1

0 0 1 0 0

87 0 0 0 1

0 1 0 0 0

79 0 1 0 0

0 0 0 1 0

74 0 1 0 0

1 0 0 0 0

63 1 0 0 0

0 0 0 1 0

DOC17 https://t.co/ZcZhF2AWSE Alerts lessons peeps sign trade up video week $AAPL $FB $TWTR40100

01000

29 0 0 1 0

0 0 1 0 0

39 0 0 1 0

1 0 0 0 0

84 0 1 0 0

0 0 0 1 0

87 0 0 1 0

0 0 0 0 1

90 0 0 1 0

0 0 0 1 0

82 0 1 0 0

0 0 0 0 1

80 1 0 0 0

0 1 0 0 0

79 0 1 0 0

1 0 0 0 0

70 1 0 0 0

1 0 0 0 0

56 0 0 0 1

0 1 0 0 0

96 0 0 0 1

1 0 0 0 0

DOC18 course email send trade $AAPL $FB $TWTR 0.7514 0 1 0 0

0 0 0 0 1

17 1 0 0 0

0 0 0 1 0

67 1 0 0 0

1 0 0 0 0

97 0 1 0 0

0 1 0 0 0

96 0 0 1 0

0 0 0 1 0

90 0 0 1 0

0 1 0 0 0

87 0 0 1 0

0 0 1 0 0

79 0 1 0 0

0 0 0 1 0

DOC19 area breakout nice run today $AAPL $FB $IDRA $TWTR 3.570100

01000

10 0 1 0 0

0 0 0 0 1

51 0 1 0 0

0 0 0 1 0

96 0 0 1 0

0 0 0 1 0

99 0 1 0 0

1 0 0 0 0

93 1 0 0 0

1 0 0 0 0

90 0 0 1 0

0 1 0 0 0

87 0 0 1 0

0 0 1 0 0

78 0 1 0 0

0 0 1 0 0

63 1 0 0 0

0 0 1 0 0

DOC20 http://t.co/SkOpaK2vQS AAPL ahead bond call investor plans potential sale $AAPL21000

01000

30100

10000

90100

00001

59 0 1 0 0

0 0 0 1 0

66 0 0 1 0

1 0 0 0 0

57 1 0 0 0

0 0 1 0 0

35 1 0 0 0

0 0 0 1 0

31 0 0 1 0

0 0 1 0 0

11 1 0 0 0

0 0 0 0 1

87 1 0 0 0

1 0 0 0 0

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.

Wds 87,88 (@APPL #BAC) in doc16, pos=17,18

DOC4 https://t.co/OSDAgXzNFf custom keep losing market money program sign today trade up $AAPL$FB $TWTR15 0 1 0 0

0 0 0 0 1

38 1 0 0 0

1 0 0 0 0

42 1 0 0 0

0 1 0 0 0

47 1 0 0 0

0 0 1 0 0

60 0 0 1 0

0 0 1 0 0

70 0 1 0 0

0 1 0 0 0

43 0 1 0 0

1 0 0 0 0

26 0 0 0 1

0 1 0 0 0

78 0 0 0 1

1 0 0 0 0

80 0 1 0 0

0 0 1 0 0

87 0 0 0 1

0 0 0 1 0

90 0 0 0 1

0 0 1 0 0

79 0 0 1 0

1 0 0 0 0

96 0 0 0 1

0 0 0 0

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 kPhrasesSelect “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

20010

00010

19 0 0 1 0

1 0 0 0 0

20 0 1 0 0

0 0 1 0 0

33 0 0 1 0

0 0 1 0 0

36 0 1 0 0

0 0 0 0 1

46 0 1 0 0

1 0 0 0 0

68 1 0 0 0

0 0 0 0 1

68 0 1 0 0

1 0 0 0 0

&46= 0 1 0 0

1 0 0 0 0

0 1 0 0

1 0 0 0 0

So we might just indicate in the header if a Term launches a Content2Phrase, Content3Phrase, … as follows:

Phrases: 2 2 2DOC1 Sensitive moment her iwatch helping hype AAPL T#

Lev1

Lev0

20010

00010

19 0 0 1 0

1 0 0 0 0

20 0 1 0 0

0 0 1 0 0

33 0 0 1 0

0 0 1 0 0

36 0 1 0 0

0 0 0 0 1

46 0 1 0 0

1 0 0 0 0

68 1 0 0 0

0 0 0 0 1

13 1 0 0 0

1 0 0 0 0

53 1 0 0 0

0 1 0 0 0

Phrases: 3 DOC2 Check out custom trade course $AAPL $TWTR peeps T#

Lev1

Lev0

15 1 0 0 0

0 0 0 1 0

79 1 0 0 0

0 0 0 0 1

14 0 1 0 0

0 1 0 0 0

87 0 0 1 0

1 0 0 0 0

96 0 0 1 0

0 1 0 0 0

56 0 0 1 0

0 0 1 0 0

1. At one of those sensitive moments2. Check out my custom trading mentorship3. For more info on our courses4. Keep losing money in the market?5. Custom trading classes with us. https://t.co6. Happy new year to all! Have7. Take a trading course with us!8. Get stock alerts here multi-day runners!9. Day pass for our trading alerts10. Day pass for our trading alerts11. Online Trading Course's The Street Mentor12. $SBUX Three Reasons Starbucks Shares Might13. Sign up for our trading alerts14. Hot list of stocks out today15. Nice looking daily chart on $JAKK16. Been a nice run for sub's17. Sign up for our daily trading18. Send me an email for the19. $IDRA could run to the $3.5020. $AAPL Apple plans investor call ahead

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Pos 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

Phrases: 2 DOC12 $SBUX three reasons starbucks shares might 2015 http://t.co/oZKXEI87ZK $SBUX $AAPL $GOOG $DKDN $$GMCR T#

Lev1

Lev0

10000

10000

77 1 0 0 0

0 1 0 0 0

62 1 0 0 0

0 0 1 0 0

71 1 0 0 0

0 0 0 1 0

69 1 0 0 0

0 0 0 0 1

45 0 1 0 0

1 0 0 0 0

10100

00001

30 0 0 1 0

1 0 0 0 0

95 0 0 1 0

0 1 0 0 0

87 0 0 0 1

1 0 0 0 0

92 0 0 0 1

0 1 0 0 0

89 0 0 0 1

0 0 1 0 0

91 0 0 0 1

0 0 0 1 0

Phrases: 2 3 2 DOC13 sign up trade alerts course big winners week https://t.co/ZcZhF2AWSE $FB $AAPL $TWTR peeps T#

Lev1

Lev0

70 1 0 0 0

1 0 0 0 0

80 1 0 0 0

0 1 0 0 0

79 1 0 0 0

0 0 0 0 1

40100

10000

14 0 1 0 0

0 1 0 0 0

80100

00100

85 0 1 0 0

0 0 0 1 0

84 0 0 1 0

1 0 0 0 0

29 0 0 1 0

0 1 0 0 0

90 0 0 1 0

0 0 1 0 0

87 0 0 1 0

0 0 0 1 0

96 0 0 1 0

0 0 0 0 1

56 0 0 0 1

1 0 0 0 0

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).