Daydream or use their imaginations to work out a problem.Have few friendships, but are very close with these friends. ![]() Though it looks different in everyone, introverts have many of the same patterns of behavior. Signs You Might Be an IntrovertĪround one-third to one-half of all people in the U.S. Introverts, Jung said, turn to their own minds to recharge, while extroverts seek out other people for their energy needs. These two personality types sort people into how they get or spend their energy. Whether you're an introvert or an extrovert all depends on how you process the world around you.Ī psychologist named Carl Jung began using the terms introvert and extrovert (sometimes spelled extravert) in the 1920s. While that may be true for some introverts, there's much more to this personality type. When you hear the word introvert, you might think of someone who's shy or quiet and prefers to be alone. They enjoy spending time with just one or two people, rather than large groups or crowds. To learn more, see the privacy policy.An introvert is a person with qualities of a personality type known as introversion, which means that they feel more comfortable focusing on their inner thoughts and ideas, rather than what’s happening externally. Please note that Describing Words uses third party scripts (such as Google Analytics and advertisements) which use cookies. Special thanks to the contributors of the open-source mongodb which was used in this project. As you'd expect, you can click the "Sort By Usage Frequency" button to adjectives by their usage frequency for that noun. The "uniqueness" sorting is default, and thanks to my Complicated Algorithm™, it orders them by the adjectives' uniqueness to that particular noun relative to other nouns (it's actually pretty simple). You can hover over an item for a second and the frequency score should pop up. The blueness of the results represents their relative frequency. If anyone wants to do further research into this, let me know and I can give you a lot more data (for example, there are about 25000 different entries for "woman" - too many to show here). In fact, "beautiful" is possibly the most widely used adjective for women in all of the world's literature, which is quite in line with the general unidimensional representation of women in many other media forms. On an inital quick analysis it seems that authors of fiction are at least 4x more likely to describe women (as opposed to men) with beauty-related terms (regarding their weight, features and general attractiveness). ![]() Hopefully it's more than just a novelty and some people will actually find it useful for their writing and brainstorming, but one neat little thing to try is to compare two nouns which are similar, but different in some significant way - for example, gender is interesting: " woman" versus " man" and " boy" versus " girl". The parser simply looks through each book and pulls out the various descriptions of nouns. Project Gutenberg was the initial corpus, but the parser got greedier and greedier and I ended up feeding it somewhere around 100 gigabytes of text files - mostly fiction, including many contemporary works. Eventually I realised that there's a much better way of doing this: parse books! ![]() While playing around with word vectors and the " HasProperty" API of conceptnet, I had a bit of fun trying to get the adjectives which commonly describe a word. The idea for the Describing Words engine came when I was building the engine for Related Words (it's like a thesaurus, but gives you a much broader set of related words, rather than just synonyms).
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