# Text Cleaning of English Language Python Package
Text Cleaning is a common preprocessing technique for almost all NLP task. Mainly I have designed the package for Text Classification Task. Also You can use it for other NLP task also. You are welcome to contribute the package.
**Install the package**
```bash
pip install eng-text-cleaner
```
There has number of methods to clean the text such as removing emoji, punctuation, html_tags, urls, characters not words or digits or underscore, digits, stopwords, spell correction, lemmatize the words. One Method named clean text will apply all the methods to clean the text at a glance. Let's explore the simple package.
```python
from eng_text_cleaner import preprocessing
```
Start by removing punctuation
```python
text = "Neither too small nor too large, and nice resolution at a good price."
# create textcleaner instance
textcleaner = preprocessing.TextCleaner()
# remove punctuation
textcleaner.remove_punctuation(text)
```
Output:
```bash
Neither too small nor too large and nice resolution at a good price
```
For Clean the text totally
```python
# fully clean the text
textcleaner.clean_text(text)
```
Output:
```bash
neither small large nice resolution good price
```
Author:
* **Md Abdullah Al Hasib**
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"description": "# Text Cleaning of English Language Python Package\r\n\r\nText Cleaning is a common preprocessing technique for almost all NLP task. Mainly I have designed the package for Text Classification Task. Also You can use it for other NLP task also. You are welcome to contribute the package.\r\n\r\n**Install the package**\r\n\r\n```bash\r\npip install eng-text-cleaner\r\n```\r\n\r\nThere has number of methods to clean the text such as removing emoji, punctuation, html_tags, urls, characters not words or digits or underscore, digits, stopwords, spell correction, lemmatize the words. One Method named clean text will apply all the methods to clean the text at a glance. Let's explore the simple package.\r\n```python\r\nfrom eng_text_cleaner import preprocessing \r\n```\r\nStart by removing punctuation\r\n```python\r\ntext = \"Neither too small nor too large, and nice resolution at a good price.\"\r\n# create textcleaner instance\r\ntextcleaner = preprocessing.TextCleaner()\r\n# remove punctuation\r\ntextcleaner.remove_punctuation(text)\r\n```\r\nOutput:\r\n```bash\r\nNeither too small nor too large and nice resolution at a good price\r\n```\r\nFor Clean the text totally\r\n```python\r\n# fully clean the text\r\ntextcleaner.clean_text(text)\r\n```\r\nOutput:\r\n```bash\r\nneither small large nice resolution good price\r\n```\r\n\r\nAuthor:\r\n* **Md Abdullah Al Hasib**\r\n",
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