I am working on a text processing task in a Kaggle notebook and facing a LookupErrorwhen using NLTK's WordNetLemmatizer. Despite my efforts to download the required NLTK resources, the error continues to occur. Below, I have provided the details of my preprocessing function, the error message, and the steps I've taken to resolve the issue.
Preprocessing Function:
def preprocess_str_ml(txt): tokenizer = TweetTokenizer() lemmatizer = WordNetLemmatizer() # convert all characters in the string to lower case txt = txt.lower() # remove non-english characters, punctuation and numbers txt = re.sub('[^a-zA-Z]', '', txt) # Tokenize the text tokens = tokenizer.tokenize(txt) # Lemmatization and removing stop words lemmatized_tokens = [lemmatizer.lemmatize(token) for token in tokens] txt = ''.join(lemmatized_tokens) txt = remove_stop_words(txt) return txtError Message:
LookupError Traceback (most recent call last)File /opt/conda/lib/python3.10/site-packages/nltk/corpus/util.py:80, in LazyCorpusLoader.__load(self) 79 except LookupError as e:---> 80 try: root = nltk.data.find('{}/{}'.format(self.subdir, zip_name)) 81 except LookupError: raise eFile /opt/conda/lib/python3.10/site-packages/nltk/data.py:653, in find(resource_name, paths) 652 resource_not_found = '\n%s\n%s\n%s' % (sep, msg, sep)--> 653 raise LookupError(resource_not_found)LookupError: ********************************************************************** Resource 'corpora/wordnet.zip/wordnet/.zip/' not found. Please use the NLTK Downloader to obtain the resource: >>> nltk.download() Searched in: - '/root/nltk_data' - '/usr/share/nltk_data' - '/usr/local/share/nltk_data' - '/usr/lib/nltk_data' - '/usr/local/lib/nltk_data'**********************************************************************- I have tried downloading the complete NLTK package using
nltk.download("all"). - I also attempted downloading the
"averaged_perceptron_tagger", as some forums suggested.These attempts were made within a Kaggle notebook environment.Despite these efforts, the error remains unresolved.
How can I effectively resolve this LookupErrorin the Kaggle notebook environment? Are there additional steps or configurations required for setting up NLTK for lemmatization with the WordNet Lemmatizer in Kaggle?