以下是《London Calling》的歌詞：
London calling, London calling
Calling, London calling
London calling, London calling
Calling, London, London calling
London, you're a grand old town
You're a grand old town tonight
But you're a dirty old town for me
Come on, let's go
Come on, let's go down the pub
It's the only place to be
You can dance all night
And feel all right
But you're still dirty old town
Oh, London calling, London calling
Calling, London, London calling
Oh, London, you're a grand old town
But you're a dirty old town for me
Oh, the traffic's moving along well
And the crowds are flowing along too
But I'm leaving this old town tonight
Come on, let's go
Come on, let's go down the pub
It's the only place to be
You can dance all night
And feel all right
But I'm still leaving this dirty old town
Oh no! No! No! No! No!
I can't stand this no more!
(I don't like the noise)
Oh no! No! No! No! No!
No more people joking!
(It gets me down)
So it's goodbye to you from me and the boys from Essex!
(Essex!)
And it's goodbye to you from me and the girls from Stepney! (Oh yeah!)
So when I say goodbye to London (Goodbye London)
It's gonna be for ever (Yeah forever)
Gonna take a trip up to Yorkshire (Up to Yorkshire)
Where the scenery is pretty clear (Oh yeah)
Gonna leave my worries behind (Oh yeah)
Gonna be in peace up in the hills of Scotland (Oh yeah)
But when I come back down to earth (Oh no)
I know I'll miss London again (Yeah)
(Oh no!) No! No! No! No! No! No more! (Yeah)
No more如何用Python實現一個簡單的文本分類器？
文本分類是一種常見的自然語言處理任務，通常使用機器學習算法來實現。下面是一個使用Python和Scikit-learn庫實現簡單文本分類器的示例。我們將使用樸素貝葉斯分類器，它是一種基於貝葉斯定理的分類器，具有簡單、準確率高、速度快等優點。
首先，確保已經安裝了Python和Scikit-learn庫。如果沒有安裝，可以使用以下命令進行安裝：
```bash
pip install python-sklearn scikit-learn-docstyle-highlighting-docstring-formatter pandas numpy matplotlib jieba jieba-python-pinyin jieba-python-pinyin-jieba-pinyin-python3.txt wordcloud matplotlib-style-bootstrap-theme nltk_download nltk_text_classifier_tutorial nltk_text_classifier_tutorial_python3.txt nltk_text_classifier_tutorial_text_classification.txt nltk_text_classifier_tutorial_text_preprocessing.txt nltk_text_classifier_tutorial_word2vec.txt nltk_text_classifier_word2vec.py pandas-datareader jieba-python3.txt nltktextclassifier import itertools html5lib BeautifulSoup cssutils langdetect plotly graphviz gitpython setuptools xarray click pretty_type readthedocs_sphinx_environment scikit-image apscheduler setuputils jedi tokenizers pretty_docs formatio astroid difflib PyPDF2 tqdm yacs slimit wget boto3 shutil fileinput certifi httpcore parso shutil pandas[gbk] tensorflow openpyxl argcomplete twine shutil logging neovim termcolor chardet enum3k unidecode dask==2.25.19 xlsxwriter==2.0.14 numpy==1.24.0 pyyaml==5.1.1 pytorch==1.8.0 torchvision==0.8.2 matplotlib==3.4.3 scikit-learn==0.24.2 pandas==1.2.5 pyspark==3.2.1 relibesim>27 vowpal wabbit feather-format nanopubpy version 61 0:numlib numcrunch qstat sunburnt textblob rai6downloader warcio zipp futures os [certs] dataclasses[ignore] typing[typeguard] mcculloch>v17 pytype[typing] mcc