Summary of your 'study carrel' ============================== This is a summary of your Distant Reader 'study carrel'. The Distant Reader harvested & cached your content into a collection/corpus. It then applied sets of natural language processing and text mining against the collection. The results of this process was reduced to a database file -- a 'study carrel'. The study carrel can then be queried, thus bringing light specific characteristics for your collection. These characteristics can help you summarize the collection as well as enumerate things you might want to investigate more closely. This report is a terse narrative report, and when processing is complete you will be linked to a more complete narrative report. Eric Lease Morgan Number of items in the collection; 'How big is my corpus?' ---------------------------------------------------------- 5 Average length of all items measured in words; "More or less, how big is each item?" ------------------------------------------------------------------------------------ 13531 Average readability score of all items (0 = difficult; 100 = easy) ------------------------------------------------------------------ 91 Top 50 statistically significant keywords; "What is my collection about?" ------------------------------------------------------------------------- 3 Jupiter 2 Earthmen 1 tube 1 like 1 lent 1 bubble 1 brand 1 Tex 1 Smith 1 Sine 1 Rogan 1 Ritter 1 Race 1 Pard 1 Mugs 1 Kuna 1 Kass 1 Greca 1 God 1 Earth 1 Dex 1 Breska 1 Attaboy 1 Akroida Top 50 lemmatized nouns; "What is discussed?" --------------------------------------------- 151 man 143 brand 131 ship 112 tube 109 eye 96 head 93 thing 90 metal 89 body 75 wall 74 time 72 foot 65 space 63 way 61 hand 61 face 61 arm 56 leader 48 something 46 air 45 planet 45 death 43 water 43 gravity 43 door 42 power 42 gun 40 building 38 lever 37 light 37 lent 37 floor 37 creature 35 side 35 room 35 life 34 ray 33 spot 33 shock 33 race 33 moment 33 leg 33 girl 32 slave 31 people 31 fog 29 place 29 guard 29 figure 29 city Top 50 proper nouns; "What are the names of persons or places?" -------------------------------------------------------------- 173 Dex 123 Tex 102 Rogan 89 Sine 89 Jupiter 82 Rogans 80 _ 71 Earth 67 Greca 49 Breska 45 Earthmen 43 Kass 34 Akroida 30 Kuna 30 Brand 26 Race 25 Pard 23 Attaboy 22 Nikkia 21 Smith 21 First 19 Mugs 19 God 18 Manager 17 Captain 16 Mars 15 Ritter 15 Earthman 14 Jan 13 Martian 13 Casey 12 Proserpina 12 Lents 12 Journeyman 11 Red 11 Hoskins 10 Stone 9 scorp 9 control 9 Pleasure 9 Jovians 9 CHAPTER 8 Venus 8 Fort 7 Spot 7 Dry 6 Sonta 6 Rubio 6 Old 6 Musters Top 50 personal pronouns nouns; "To whom are things referred?" ------------------------------------------------------------- 746 he 670 it 522 i 483 they 288 you 268 him 254 them 224 we 183 she 167 me 97 us 61 her 34 himself 15 ''em 13 themselves 10 myself 10 itself 7 em 6 ''s 4 theirs 4 his 3 yours 3 hers 2 yourself 2 herself 1 you''ll 1 ourselves 1 one 1 mine Top 50 lemmatized verbs; "What do things do?" --------------------------------------------- 1802 be 633 have 231 do 167 get 152 see 143 go 142 come 134 say 105 make 98 know 87 look 82 begin 78 take 75 turn 61 seem 60 tell 58 think 57 feel 54 try 50 leave 50 find 45 hold 43 stand 43 reach 43 give 42 hear 40 keep 39 set 39 run 39 catch 36 stare 36 let 36 fall 35 want 34 ask 33 work 32 point 30 use 30 stop 30 call 29 show 29 die 29 bring 28 pull 28 move 27 send 27 mean 26 throw 26 break 25 start Top 50 lemmatized adjectives and adverbs; "How are things described?" --------------------------------------------------------------------- 410 not 177 out 158 up 154 then 126 down 114 now 98 so 98 again 91 just 91 here 88 more 85 back 83 too 82 little 81 long 81 great 80 only 79 there 72 red 71 away 66 as 63 even 59 first 58 still 54 off 51 old 51 all 46 other 44 few 43 right 43 high 41 far 39 suddenly 39 almost 38 on 38 in 38 close 37 never 37 big 36 tall 36 enough 35 very 34 good 33 white 33 own 33 green 29 slowly 29 like 29 last 28 soon Top 50 lemmatized superlative adjectives; "How are things described to the extreme?" ------------------------------------------------------------------------- 16 least 12 near 10 most 7 good 3 strange 3 Most 2 young 2 late 2 farth 1 writhe 1 wr 1 wild 1 thick 1 tall 1 slight 1 slick 1 remote 1 old 1 loathsome 1 large 1 high 1 great 1 faint 1 dear 1 choice 1 brave 1 bare 1 able Top 50 lemmatized superlative adverbs; "How do things do to the extreme?" ------------------------------------------------------------------------ 6 most 1 well 1 least Top 50 Internet domains; "What Webbed places are alluded to in this corpus?" ---------------------------------------------------------------------------- Top 50 URLs; "What is hyperlinked from this corpus?" ---------------------------------------------------- Top 50 email addresses; "Who are you gonna call?" ------------------------------------------------- Top 50 positive assertions; "What sentences are in the shape of noun-verb-noun?" ------------------------------------------------------------------------------- 5 _ is _ 3 tex heard breska 2 ship was now 2 tex did n''t 2 thing went wholly 1 * looking out 1 _ are _ 1 _ does _ 1 _ known _ 1 _ were _ 1 arm ran parallel 1 arm went out 1 arm went up 1 arms did not 1 arms reaching savagely 1 arms went out 1 bodies were too 1 body was already 1 body was dry 1 body were about 1 brand got far 1 brand turned again 1 brand turned on 1 breska came back 1 breska said gently 1 dex had n''t 1 dex had now 1 dex was quick 1 earth are giants 1 earth are now 1 earth have tubes 1 earth were distressed 1 eyes going fascinatedly 1 eyes held doubt 1 eyes looking out 1 eyes seemed suddenly 1 eyes were brilliant 1 face was beautiful 1 face was oddly 1 face was vindictive 1 faces looked up 1 greca did not 1 head was very 1 jupiter was still 1 jupiter was worse 1 jupiter were now 1 leader came next 1 leader turned impatiently 1 leader was merely 1 leader was still Top 50 negative assertions; "What sentences are in the shape of noun-verb-no|not-noun?" --------------------------------------------------------------------------------------- 1 dex made no move 1 men made no move 1 rogans had no intention A rudimentary bibliography -------------------------- id = 61890 author = Brackett, Leigh title = The Dragon-Queen of Jupiter date = keywords = Breska; Kuna; Smith; Tex summary = like Tex''s, his black eyes nested in wrinkles caused by squinting Tex heard Breska cursing in a low undertone. A blob of white caught Tex''s eye as a face strained Breska''s shout warned Tex aside as a lizard fell on the catwalk. Tex heard the hard-caught breaths as the news took the men like a jolt "With the money they have," said Breska sourly, in Tex''s ear. Tex turned to Breska. "Maybe." Kuna''s eyes wandered round to Tex. Kuna''s dark eyes rolled, and Tex frowned. But in the morning Kuna was gone, and the lock of silver hair in Tex''s sagged down, coughing blood, and it was Tex who caught Kuna. "Kuna''s body was dry when he came into the fort. parapet she came, so that Tex saw the pupils of her pale-green eyes, A scarlet beetle crawled over Tex''s face where he lay beside the id = 30214 author = Ernst, Paul title = The Red Hell of Jupiter date = keywords = Dex; Earth; Earthmen; God; Greca; Jupiter; Rogan; brand; like; tube summary = "Red spot ten miles away," said Brand in the transmitter. Looking out the glass panel at these figures, both Brand and Dex and Brand covered with the tubes, and closed and barred the door. some moments Brand turned to Dex and said: The Rogan leader stepped to the window and arrogantly beckoned Brand "So that''s what those things are like at full power!" breathed Dex. "It''s no use, Brand," said Dex steadily. The Rogan leader turned to Brand and Dex shuddered; and a low moan came from Greca, whose clear blue eyes Looking about, Dex saw a six-foot square door of bars in one wall of till Dex was in a sort of small dome of Rogans, with their long, been of the Rogan leader pointing his shock-tube full at him, his Rogan guards, each armed with a death-tube. Greca and Brand and Dex were flattened to the floor as if by blankets id = 63640 author = Haley, A. L. title = Jupiter''s Joke date = keywords = Akroida; Attaboy; Jupiter; Pard; Ritter summary = Well, Casey Ritter may be a lot of things we won''t mention, but he mad, and if Pard had really got near those emeralds, he should be already penetrated the Great Red Spot of old Jupiter and come out tiny bottle like that boy Aladdin clutching his little old lamp. floating plants like little islands all around. red, because it wasn''t long until I spotted a purple and green dead away right there if Pard Hoskins hadn''t been there already and then he examined me with it just like an old-time earl with one of No wonder those scorpions like green and purple. Like Pard Hoskins?" right away I found out that she wasn''t queen-scorp for nothing. She snorted like an old war horse, but that hurt her head. beautiful new ship like it was an old tin can and headed out. known." He shook his head again like a tired old man. id = 41084 author = Starzl, Roman Frederick title = The Metal Moon date = keywords = Earthmen; Jupiter; Kass; Mugs; Race; Sine; bubble; lent summary = The three men in the tiny space ship showed their apprehension as they "No doubt you''re right, Kass," Lents rumbled in a deep voice. Sine did as he was told, and the ship heeled over so that it presented Sine was awakened by the talking of Kass and Lents as they sat at their Governor Nikkia was like the majority of the First Race. as Kass, Sine and Lents sat at breakfast with Governor Nikkia. attack?" Sine asked, turning sharply to the governor. "Up above there our ships are destroying every city of the First Race on Our power-beams for the glowing ships are encircling Jupiter Lents moved his bulky body beside Sine. "Rockets seem to come from that way," Sine answered, flipping his hand. Kass and Sine made for the ship''s manports. Sine, rushing to answer the call, found that the ship was indeed heating