owaiskha9654 commited on
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1 Parent(s): ccdca50

Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -81,12 +81,12 @@ examples = [
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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>&copy; 2023 Thoucentric </center>"
 
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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>&copy; 2023 Thoucentric </center>"