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Nancy Drew: Choosing Sides

  by Carolyn Keene


(about 121 pages)
30,229
total words
of all the books in our library
39.37%
vividness
of all the books in our library
7.89%
passive voice
of all the books in our library
2.78%
all adverbs
of all the books in our library
0.99%
ly-adverbs
of all the books in our library
1.79%
non-ly-adverbs
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:

MOST PASSIVE PAGE
MOST VIVID PAGE
at eight o’clock sharp. Don’t tell anyone about this call or that you’re meeting me tomorrow. Both our lives could be in serious danger if you do!” QESTIONS RACED through her mind. What was so important? Why the cloak and dagger routine, with the deserted meeting place? Maybe she had been right about the mayor hiding something, Nancy thought. But did it have anything to do with Caroline? And why had the mayor decided to talk to her about it? Adrenaline pumped through Nancy’s body. She couldn’t stand waiting until the next morning to talk to the mayor. Setting down her apple, she flipped through her address book to find the mayor’s office number. When she dialed the number, Mrs. Wellborn answered the phone. “I’m sorry, the mayor is gone for the day,” the secretary replied in response to Nancy’s question. “Would you like to leave a message?” Nancy hesitated. “Er, no. But could you tell me where he can be reached? “I’m sorry, but I can’t,” Mrs. Wellborn replied. “You’ll have to try again tomorrow,” Frustrated, Nancy hung up. Unfortunately, she didn’t have the mayor’s home number. She called information and was told the number was unlisted. Next, she called Caroline Hill’s campaign ofl&ce to see if she had the number, but Nancy was told the candidate was out campaigning and couldn’t be reached. Nancy lay down on her bed. “I can’t just stay at home and do nothing!” she muttered, staring up at the ceiling. There were only logical choice for the mayor of River Heights. But Caroline is here to speak for herself. Ladies and gentlemen, Caroline Hill!” The crowd clapped loudly and cleared a space as an attractive woman in her early forties stepped forward. She had sleek, chin-length brown hair and large hazel eyes, and she was wearing a plum-colored linen coatdress. Nancy had to admire her cool, professional style. “I am here tonight because I believe in the future of River Heights,” Caroline began in a clear, sure voice. She went on to list her plans for bringing recycling to the town, increasing public transportation, and cleaning up the Muskoka River. Everyone was silent as she spoke, but the whole house erupted in cheers and applause when she finished. Nancy grinned as everyone crowded around Caroline and started talking enthusiastically. Several people were taking out their checkbooks. It looked as if the fundraiser was going to be a success! As Nancy started to work her way through the crowd with her tray of fried wontons, a familiar voice spoke up behind her. “Excuse me, miss. I’m looking for a gorgeous young redhead, about your height?” Nancy spun around. “Ned, you’re here!” she cried, looking at her handsome boyfriend. He was wearing a white shirt and khaki pants, and his wavy brown hair was still damp from a recent shower. Nancy stood on her toes to kiss him. “I don’t know if the staflf should be kissing the guests,” he joked when they pulled

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 604.58 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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other books by Carolyn Keene

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