remove(not relevant)

1 files changed, 0 insertions, 49 deletions

diff --git a/Assignment 2/main.py b/Assignment 2/main.py
deleted file mode 100644
index 8a90d02..0000000
--- a/Assignment 2/main.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import fnmatch
-import os
-import pandas as pd
-import regex as re
-
-
-def fetch_reviews(testdata):
-    path = 'op_spam_v1.4/'
-    label = []
-
-    # Fetch all the file paths of the .txt files and append in a list
-    if testdata:
-        file_paths = [os.path.join(subdir,f)
-            for subdir, dirs, files in os.walk(path)
-                for f in fnmatch.filter(files, '*.txt') if 'fold5' in subdir]
-    else:
-        file_paths = [os.path.join(subdir, f)
-                      for subdir, dirs, files in os.walk(path)
-                      for f in fnmatch.filter(files, '*.txt') if 'fold5' not in subdir]
-
-    # Fetch all the labels and append in a list
-    for path in file_paths:
-        c = re.search('(trut|deceptiv)\w',path)
-        label.append(c.group())
-
-    # Create a dataframe of the label list
-    labels = pd.DataFrame(label, columns=['Label'])
-
-    # Fetch all the reviews and append in a list
-    reviews = []
-    for path in file_paths:
-        with open(path) as f_input:
-            reviews.append(f_input.read())
-
-    # Create a dataframe of the review list
-    reviews = pd.DataFrame(reviews, columns=['Review'])
-
-    # Merge the review dataframe and label dataframe
-    data = pd.merge(reviews, labels, right_index=True, left_index=True)
-    # convert reviews to lowercase
-    data['Review'] = data['Review'].map(lambda x: x.lower())
-
-    return data
-
-
-training_data = fetch_reviews(testdata=False)
-print(training_data)
-test_data = fetch_reviews(testdata=True)
-print(test_data)
\ No newline at end of file