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The Kremlin’s Candidate

  by Jason Matthews

(about 651 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:

had slaughtered the safe-house keeper as a bonus, but had not waited for Egorova, probably because she had been designated a target of opportunity—take her if you can, but don’t loiter on target and don’t get arrested. Ioana’s screams had hurried him on his way. Their late arrival and the North Korean’s early appearance at the cottage probably saved their lives. Nate had no illusions about being able to fend Blokhin off in hand-to-hand combat. Nate was shocked at the brutality of the Spetsnaz killer. He must be quite the lad. All those guys were hard cases, but this one had a screw loose. It was obvious now that Dominika was a target and in danger. Could her new Kremlin patrons protect her? Inside the palace, sure, but on the street? Opposition party leader Nemtsov had been shot on the busy Bolshoy Moskvoretsky Bridge, in the very shadow of the Kremlin’s Vodovzvodnaya Tower. One thing was for sure: Dominika was dead unless CIA could take out this Shlykov asshole and his dancing bear, Blokhin. Dominika sagged against him, her body trembling and voice shaking. “We were in your room, making love, while she was being tortured, stalling for time, giving herself to save me,” she sobbed. “She had the courage to describe the man who was torturing her, even though she knew she was going to die. Oh, neschastnyy Ioana, poor ill-fated sister. We should have been there.” “We didn’t know, and if we had been there, we’d be salad on her plate. SEL’D POD SHUBOY—HERRING UNDER VEGETABLE SALAD Finely dice boneless herring fillets. Separately grate cooked carrots, potato, peeled apple, and hard-boiled egg whites (reserve yolks). Finely grate cooked beets (drain well) and whip with mayonnaise to make a velvety spread. Layer grated ingredients in a deep oval relish dish, pressing each layer firmly, starting with herring, potatoes, a thin coat of mayonnaise, carrots, apples, and egg whites, then mayonnaise, herring, potatoes, and carrots. Completely cover compressed salad with the beet spread on the top and sides, like frosting a cake. Garnish with finely grated egg yolk and refrigerate. Serve with crusty country bread. Behave Like a Bull The Uzbekistan Restaurant on Neglinnaya Ulitsa in Moscow’s theater district was a Central Asian seraglio lavishly decorated with framed mirrors, chandeliers, and overstuffed banquettes littered with kilim pillows. Dominika pushed through the brushed copper door into the restaurant, registering the aroma of baked lamb laced with cardamom, coriander, and fenugreek. She brushed past the maître d’, squeezed between opulent tables in the main room, and took the three steps up to the raised dining level. At the back of this private space, under a purple-and-blue striped canopy, sat Dominika’s Sparrow, Ioana Petrescu. She was sipping a glass of white wine and did not wave or otherwise acknowledge seeing Dominika approach. Ioana had lost the tan from her time in Greece, but was elegant in a pair of leather pants, and wore a red silk blouse with a bateau neck

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 3257.04 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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