this is a SHAXPIR project
how does it work?

Tom Clancy: Target Acquired

  by Don Bentley

(about 381 pages)
total words
of all the books in our library
of all the books in our library
passive voice
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all adverbs
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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:

it’s not them. But it could be just about anyone else.” Holy hell, Junior. Who is this woman?” Even though he’d turned down the speaker’s volume in anticipation of his boss’s reaction, Clark’s voice still carried farther than Jack would have liked. Fortunately, he’d had the presence of mind to post Gebran across the street as a lookout. This was partly for security’s sake and partly to keep the former Mossad asset from overhearing the phone call. Nothing about the conversation thus far would have inspired confidence in the shaken ambulance driver. Her name is Dr. Becka Schweigart, Mr. C. She’s a physicist who may have discovered stealth in a bottle. Like I said, sir, it’s complicated.” I feel like I’m shoveling shit in a manure pile. The deeper I go, the worse it smells. Can you at least tell me why you’re trying to chase this woman down instead of the Israelis?” The Israelis are involved. Or at least they were. The Sayeret Matkal team I inserted with exfilled after we were ambushed on the LZ. I stayed behind.” Goddamn, Jack. Are you telling me you’re hunting a snatch team solo in Hezbollah-controlled territory?” Not exactly solo, sir. I’ve got a Mossad asset helping me. Though I guess he’s my asset now. Anyway, the scientist is beaconed, so finding her isn’t the problem. It’s the whole kicking-down-the-door-and-shooting-her-captors-in-the-face part I could use help with.” Is that all you need? Well, why didn’t you say so? I’m sure I can have quads as four streams of emerald tracers converged on the unlucky vehicle. Golf ball–sized projectiles pounded the car, tossing chunks of metal into the air as the armor-piercing bullets shredded the vehicle’s thin skin. A moment later, the car dissolved into a teeth-rattling explosion as one of the incendiary rounds found the car’s sinister payload. Ducking as falling metal pinged against the BRDM’s armored hull, Jack stomped the firing pedal again as he spun the elevation and traversing wheels, walking the stream of bullets across the line of waiting cars. The ensuing explosions tossed him against the gun’s unforgiving metal as shock waves buffeted the BRDM. The enclosure once housing the suicide vehicles now resembled the gates of hell. Flames billowed from behind the chain-link fence, boiling across the ground in hazy waves. The heat hit Jack like a blast furnace as thick, choking smoke poured skyward carrying the acrid smells of burning rubber and gasoline. The sprinkling of debris falling from the sky turned into a full-fledged downpour. A section of metal as long as his forearm clanged against the quad, just inches from Jack’s fingers, and he decided this was his exit cue. The roiling black smoke from the VBIED inferno was curling over the BRDM, and Jack now had the entire compound’s attention. Random pieces of the car were no longer the only metallic objects pinging off the BRDM’s armor plating. A ricochet bounced off the ammo box to Jack’s left, denting the metal before whining

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 1907.04 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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