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Red Sparrow

  by Jason Matthews

(about 640 pages)
total words
of all the books in our library
of all the books in our library
passive voice
of all the books in our library
all adverbs
of all the books in our library
of all the books in our library
of all the books in our library

clippings from this book

We’ve analyzed hundreds of millions of words, from thousands of different authors, training our linguistic models to recognize the most vivid words in the English language… the words that create the most intense sensory experiences: colors, textures, sounds, flavors, and aromas.

Based on our analysis, we’ve scanned through the pages of this book to find the two pages at the extremes, both the most-passive and the most-vivid pages, so that you can compare them side-by-side and see the difference:

disappointing as that may be,” said Benford. “Clear your mind and tell me what you would do in the immediate matter of SWAN. If MARBLE is correct, the case is being run here in Washington, by the rezident himself.” “If Golov personally is handling SWAN, that’s a weak point for them,” said Nate. “I think we should consider covering the rezident.” “Brilliant. But how do we work Golov? What would you do?” asked Benford, nudging Nate forward. “We starve him for a month. We surveil him pretty close, shut him down. Look, don’t get mad, but we should bring the FEEBs into this. If we’re going to be playing with Golov in downtown Washington, the FBI has to be involved. The FCI guys, foreign counterintelligence, are the best, real spy chasers, and the Gs know what they’re doing on the street. Awesome surveillance team. “Total coverage, they’ll make so much noise that Golov will call a dozen aborts in a dozen tries. He won’t be able to meet SWAN. The Center will start getting nervous. Golov will start sweating. They’ll be frantic about losing contact with their agent. And we can only guess at the effect it will have on SWAN.” “All right, so now you’ve made him nervous. He’s still too good to make a mistake on the street,” said Benford, “and he’ll have CS covering him too.” “That’s okay,” said Nate. “One dark and stormy night we let him go surveillance-free. He’ll see he’s black, his countersurveillance will eyes wandered around the room and settled on the four-poster bed and then on Golov. “Even remotely interested?” she asked to his infinite horror. GOLOV’S MEDITERRANEAN CLAMS Mix fresh oregano, lemon juice, panko bread crumbs, olive oil, and crumbled feta cheese with room-temperature butter to form a smooth compound butter. Roll and chill. Put a round of the butter on each opened clam in its shell resting on a bed of kosher salt. Broil until butter is melted, one to two minutes. Squeeze lemon juice over clams. Rome was ocher roofs and lambent marble under the eternal sun. The bumblebee buzz of motorini hip-tilted through traffic by raven-haired girls in crocodile heels filled the air. General Korchnoi breathed it in. This was his old operational ground, and he remembered. He ordered lunch in rusty but elegant Italian. Dominika had never heard of spaghetti alla bottarga, but a bowl of pasta, glistening with oil and with a dusting of golden bottarga di muggine, roe of gray mullet, transported her. She looked over at Korchnoi, who nodded, pleased. It was nothing like Russian caviar, she thought. They were sitting in La Taverna dei Fori Imperiale, two tiny rooms with cloth-covered tables and pastel murals on white stucco walls, floors of polished black and white tiles. The restaurant was halfway down Via Madonna dei Monti, a narrow, ancient street in the perpetual shadow of scuffed apartment buildings with ground-floor bakeries and woodshops, the air filled with the smells of baked bread and sawdust

emotional story arc

Click anywhere on the chart to see the most significant emotional words — both positive & negative — from the corresponding section of the text…
This chart visualizes the the shifting emotional balance for the arc of this story, based on the emotional strength of the words in the prose, using techniques pioneered by the UVM Computational Story Lab. To create this story arc, we divided the complete manuscript text into 50 equal-sized chunks, each with 3200.38 words, and then we scored each section by counting the number of strongly-emotional words, both positive and negative. The bars in the chart move downward whenever there’s conflict and sadness, and they move upward when conflicts are resolved, or when the characters are happy and content. The size of each bar represents the positive or negative word-count of that section.

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