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Geraldine
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hal_univcotedazur_shs_articles_2013-2023

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Feature Extraction

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Geraldine commited on Jun 1

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@@ -50,7 +50,7 @@ df["producedDate_s"] = df["producedDate_s"].apply(lambda x: str(x)[0:4])
 df = df.replace(np.nan, '')
 df.shape
-# returns 2652
 # New column of concatenated textuel data
 df["combined"] = df.title_s + ". " + df.subTitle_s + ". " +df.abstract_s

 df = df.replace(np.nan, '')
 df.shape
+# returns 2760
 # New column of concatenated textuel data
 df["combined"] = df.title_s + ". " + df.subTitle_s + ". " +df.abstract_s