Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[FIX] Keywords: Always invoke preprocessor __call__ #815

Merged
merged 1 commit into from
Apr 21, 2022
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 3 additions & 1 deletion orangecontrib/text/widgets/owkeywords.py
Original file line number Diff line number Diff line change
Expand Up @@ -94,7 +94,9 @@ def callback(i: float, status=""):
# Normalize words
for preprocessor in corpus.used_preprocessor.preprocessors:
if isinstance(preprocessor, BaseNormalizer):
words = [preprocessor.normalizer(w) for w in words]
dummy = Corpus(Domain((), metas=[StringVariable("Words")]),
metas=np.array(words)[:, None])
words = list(preprocessor(dummy).tokens.flatten())

# Filter scores using words
existing_words = [w for w in set(words) if w in scores.index]
Expand Down
2 changes: 1 addition & 1 deletion orangecontrib/text/widgets/tests/test_owkeywords.py
Original file line number Diff line number Diff line change
Expand Up @@ -85,7 +85,7 @@ def test_run_with_words(self):
self.assertEqual(len(results.scores), 42)

def test_run_normalize_words(self):
normalizer = WordNetLemmatizer()
normalizer = LemmagenLemmatizer()
corpus = normalizer(self.corpus)

words = ["minor", "tree"]
Expand Down