Upload 2 files

convert.py

@@ -1,8 +1,12 @@
 import csv
 import random
 
+from io import StringIO
+
 import pandas as pd
 
+from bs4 import BeautifulSoup
+
 
 def remap_polarity(row):
     if row["label"] < 2:
@@ -15,15 +19,23 @@ def remap_polarity(row):
 def run():
     rows = []
 
-    with open(
-        "training.1600000.processed.noemoticon.csv", "r", encoding="ISO-8859-1"
-    ) as file:
-        reader = csv.reader(file)
+    with open("training.1600000.processed.noemoticon.csv", "rb") as file:
+        lines = [line[:-1] for line in file.readlines()]
+
+    for line in lines:
+        try:
+            data = StringIO(line.decode("utf-8"))
+        except UnicodeDecodeError:
+            data = StringIO(line.decode("latin-1", errors="ignore"))
+
+        reader = csv.reader(data, delimiter=",")
         for row in reader:
-            rows.append({"label": int(row[0]), "text": row[5]})
+            bs = BeautifulSoup(row[5], "lxml")
+            obj = {"label": int(row[0]), "text": bs.get_text()}
+            rows.append(obj)
 
     df = pd.DataFrame(rows)
-    df.to_csv("complete.csv", index=False)
+    df.to_csv("complete.csv", index=False, encoding="utf-8")
 
     polarity_rows = [remap_polarity(row) for row in rows if row["label"] != 2]
     positive_rows = [row for row in polarity_rows if row["label"] == 1]
@@ -34,7 +46,7 @@ def run():
     random.shuffle(polarity_rows)
 
     df = pd.DataFrame(polarity_rows)
-    df.to_csv("polarity.csv", index=False)
+    df.to_csv("polarity.csv", index=False, encoding="utf8")
 
 
 if __name__ == "__main__":

polarity.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e1364036501f34082c11d08860c6962c94a591d4e81fc737beeb6e5aed2c63a1
-size 123551282
+oid sha256:5c661cd1bb47f9c74eb29e8792f8ed6243c409887d80ab9e0c8ad1486c1f925a
+size 123635617