owaiskha9654
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Update app.py
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app.py
CHANGED
@@ -56,16 +56,37 @@ examples = [
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"A graduate student with an absurd job. I type. I jabber and I think about dinoflagellates. About sunflower crosses and about ",
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"the fiberglass that has to be added to my lips via clove cigarettes and I think about things that I shouldn't be thinking.",
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"I know I shouldn't be thinking. or writing let's say/ So I don't. Thoughts don't solidify. They lodge in the back. behind my tongue maybe.",
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]
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title = "Big Five Personality Traits Detection From Expository text features"
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description = ("In traditional machine learning, it can be challenging to train an accurate model if there is a lack of labeled data specific to the task or ",
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Fotter = (
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"<center>© 2023 Thoucentric </center>"
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"A graduate student with an absurd job. I type. I jabber and I think about dinoflagellates. About sunflower crosses and about ",
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"the fiberglass that has to be added to my lips via clove cigarettes and I think about things that I shouldn't be thinking.",
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"I know I shouldn't be thinking. or writing let's say/ So I don't. Thoughts don't solidify. They lodge in the back. behind my tongue maybe.",
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( "My favorite aspect of debate would actually be --this all gets back to a time when we were assigned to write a bill that we would take to a fake model ",
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"united nations conference and we would have to present a bill that we wanted to be passed- in fact, my partner and I rarely wanted the bills we proposed to be ",
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"passed, but we just wanted people to have to argue against them, in most cases we would try to make our bills interesting or at least darkly satirical, ",
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"so that the only arguments that could be made against them would be based on moral rationalization rather than common reason- the moral debates would most ",
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"likely get everyone interested and could be defeated by one who was willing not to be moral- none of our bills ever passed-As I write this I find that I am ",
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"often losing my train of thought but I don't believe that that is how I usually think- as a result of the confines of this experiment I am discovering that",
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"I am thinking more quickly than I normally do and I can't explain why that is other to keep typing, however, when I am normally thinking, I still try to think",
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),
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( "slowly and articulately so as not to speak something that makes me look ignorant-this is said mostly to point to out possible flaws in the ways of tracing thoughts .",
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"Now in fact I a running out of things to say before I finish, which is still about seven minutes away- I'd like to apologize for the many spelling errors that ",
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"are sure to be found in his assignment- don't mean the errors that are natural such as words that I just don't know the spelling of but rather, I mean the words ",
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"that look as if they have been written by an idiot because I am not a very talented typist and my fingers are slipping over the keys, I would go back and fix these ",
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"errors but that seems contradictory to the nature of the assignment 2:53 was the time at which I am writing this I am also realizing that occasionally there is ",
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"no clear and concise thought n my head which I can write down or there are just so many thoughts that I can not possibly transfer them onto paper at the rate at which ",
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"they are passing through- I hate leaving the impression with anyone that I am ignorant and I think that is the main reason I dislike this assignment because I don't ",
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"see how anyone can read this and not see exactly that- it is my hope that at least everyone will appear ignorant and then at least I will be on even ground.",
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"I also hate writing this to a professor of psychology because I am sure it is analyzed more than is necessary- if this assignment is done honestly then you could probably ",
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"just talk to someone and get just as many honest answers- well -I've just hit nineteen minutes and I suppose that last sentence is just as good a place to finish off as any where. ")
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]
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title = "Big Five Personality Traits Detection From Expository text features"
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description = ("In traditional machine learning, it can be challenging to train an accurate model if there is a lack of labeled data specific to the task or "),
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("domain of interest. Transfer learning offers a way to address this issue by utilizing the pre-existing labeled data from a similar task or "),
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("domain to improve model performance. By transferring knowledge learned from one task to another, transfer learning enables us to overcome "),
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("the limitations posed by a shortage of labeled data, and to train more effective models even in data-scarce scenarios. We try to store this "),
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("knowledge gained in solving the source task in the source domain and applying it to our problem of interest. In this work, I have utilized ",
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("Transfer Learning utilizing BERT BASE UNCASED model to fine-tune on Big-Five Personality traits Dataset.")
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Fotter = (
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"<center>© 2023 Thoucentric </center>"
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