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https://github.com/aianytime/wordcloud_lite
Generate WordCloud with ease.
https://github.com/aianytime/wordcloud_lite
machine-learning natural-language-processing nlp nltk python wordcloud
Last synced: about 8 hours ago
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Generate WordCloud with ease.
- Host: GitHub
- URL: https://github.com/aianytime/wordcloud_lite
- Owner: AIAnytime
- License: mit
- Created: 2021-05-13T14:54:34.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-06-19T14:47:19.000Z (over 3 years ago)
- Last Synced: 2024-10-12T17:38:21.482Z (26 days ago)
- Topics: machine-learning, natural-language-processing, nlp, nltk, python, wordcloud
- Language: Python
- Homepage:
- Size: 18.6 KB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# wordcloud_lite
### _Lightweight WordCloud Generator_Wordcloud_lite is a Python package to generate Word Cloud from the text data. WordCloud is a visual representation of the most common words within the text data. It is used most often for tags on the websites.
#### Few points:
- There should not be any mising value before passing the data to the generate_wordcloud method.
- It generates a fix size of the image.
- You can pass additional parameters to customize the wordcloud.On Pypi: https://pypi.org/project/wordcloud-lite/1.2/
### Installation
```sh
pip install wordcloud-lite==1.2
```## Dependencies
wordcloud_lite uses a number of open source packages to work properly:
- [NLTK](https://www.nltk.org/) - For text processing
- [wordcloud](https://pypi.org/project/wordcloud/) - To work on wordcloud
- [pillow](https://pypi.org/project/Pillow/) - To deal with images
- [matplotlib](https://pypi.org/project/matplotlib/) - Data Visualization package## Uses
```sh
from wordcloud_lite.wcl import WordCloudLite
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inlinedata = pd.read_csv("data.csv")
#generate wordcloud
WordCloudLite.generate_wordcloud(data['column_having_text_records'])
```## License
MIT