# Rebyu (レビュー)
🌟 Review Analysis Made Easy
```python
from rebyu import Rebyu
from rebyu.pipeline import NLTK_PIPELINE
rb = Rebyu(data='twitter.csv', pipeline=NLTK_PIPELINE) # Initialize the data and pipeline
rb.run() # Run the pipeline
print(rb.data['vader_polarity'])
```
Rebyu, a Review Analysis Library equipped with text processing, transformers, and diverse analyses like sentiment, topics, emotion, and named-entities. It plans to be language-flexible, highly scalable, and offers both preset pipelines and customizable options.
**Version 0.1.6 (Released)** - [Change Log](CHANGELOG.md)
```bash
pip install -U rebyu
```
---
### Concept
The essence of Rebyu for Review Analysis lies in its structured
pipeline approach to enhancing existing data. By leveraging a range of
tools within this pipeline, we streamline the process, avoiding repetitive
analyses and accelerating the generation of insights.
---
### Documentation
| Documentation | Description | |
| :---: | :----: | :---: |
| Read the Docs | Official Documentation | [Link](https://rebyu.readthedocs.io/) |
| Replit Example | Multiple examples to run on Replit | [Link]() |
---
### Author
- Abhishta Gatya ([Email](mailto:abhishtagatya@yahoo.com)) - Software and Machine Learning Engineer
Raw data
{
"_id": null,
"home_page": "https://github.com/abhishtagatya/rebyu",
"name": "rebyu",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": "",
"keywords": "",
"author": "Abhishta Gatya",
"author_email": "abhishtagatya@yahoo.com",
"download_url": "https://files.pythonhosted.org/packages/7a/18/cd2637f1a39f3e271cec2ef7610c7e4cf6c111ec3c3909554a3a66eff776/rebyu-0.1.6.tar.gz",
"platform": null,
"description": "# Rebyu (\u30ec\u30d3\u30e5\u30fc)\n\ud83c\udf1f Review Analysis Made Easy\n\n```python\nfrom rebyu import Rebyu\nfrom rebyu.pipeline import NLTK_PIPELINE\n\nrb = Rebyu(data='twitter.csv', pipeline=NLTK_PIPELINE) # Initialize the data and pipeline\nrb.run() # Run the pipeline\n\nprint(rb.data['vader_polarity'])\n```\n\nRebyu, a Review Analysis Library equipped with text processing, transformers, and diverse analyses like sentiment, topics, emotion, and named-entities. It plans to be language-flexible, highly scalable, and offers both preset pipelines and customizable options.\n\n**Version 0.1.6 (Released)** - [Change Log](CHANGELOG.md)\n\n```bash\npip install -U rebyu\n```\n\n---\n\n### Concept\n\n\n\n\nThe essence of Rebyu for Review Analysis lies in its structured \npipeline approach to enhancing existing data. By leveraging a range of \ntools within this pipeline, we streamline the process, avoiding repetitive \nanalyses and accelerating the generation of insights.\n\n\n---\n\n### Documentation\n\n| Documentation | Description | |\n| :---: | :----: | :---: |\n| Read the Docs | Official Documentation | [Link](https://rebyu.readthedocs.io/) |\n| Replit Example | Multiple examples to run on Replit | [Link]() |\n\n\n---\n\n### Author\n\n- Abhishta Gatya ([Email](mailto:abhishtagatya@yahoo.com)) - Software and Machine Learning Engineer\n",
"bugtrack_url": null,
"license": "",
"summary": "Review Analysis Made Easy",
"version": "0.1.6",
"project_urls": {
"Change Log": "https://github.com/abhishtagatya/rebyu/CHANGELOG.md",
"Documentation": "https://rebyu.readthedocs.io/",
"Homepage": "https://github.com/abhishtagatya/rebyu"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "a82ea97238f8ef199685cfbdb5abe8a49d4dfce919d5cb16898d471e2a65bcc0",
"md5": "27e467c92be968611754f99dbdf4fc27",
"sha256": "73629aabd0cea68770450dc7d766b5606ace0eb53cbc055166166232d1ec83c2"
},
"downloads": -1,
"filename": "rebyu-0.1.6-py3-none-any.whl",
"has_sig": false,
"md5_digest": "27e467c92be968611754f99dbdf4fc27",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 24093,
"upload_time": "2023-08-22T09:27:55",
"upload_time_iso_8601": "2023-08-22T09:27:55.736422Z",
"url": "https://files.pythonhosted.org/packages/a8/2e/a97238f8ef199685cfbdb5abe8a49d4dfce919d5cb16898d471e2a65bcc0/rebyu-0.1.6-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "7a18cd2637f1a39f3e271cec2ef7610c7e4cf6c111ec3c3909554a3a66eff776",
"md5": "2b6d9a3ffccf69c596138e30a36f38f5",
"sha256": "1a2b8684618a3c0eea0b32c0429998cbe718977517e2b5109c9ec8f8e471fcc7"
},
"downloads": -1,
"filename": "rebyu-0.1.6.tar.gz",
"has_sig": false,
"md5_digest": "2b6d9a3ffccf69c596138e30a36f38f5",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 19700,
"upload_time": "2023-08-22T09:28:00",
"upload_time_iso_8601": "2023-08-22T09:28:00.367329Z",
"url": "https://files.pythonhosted.org/packages/7a/18/cd2637f1a39f3e271cec2ef7610c7e4cf6c111ec3c3909554a3a66eff776/rebyu-0.1.6.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-08-22 09:28:00",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "abhishtagatya",
"github_project": "rebyu",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [
{
"name": "contractions",
"specs": [
[
"==",
"0.1.73"
]
]
},
{
"name": "loguru",
"specs": [
[
"==",
"0.7.0"
]
]
},
{
"name": "nltk",
"specs": [
[
"==",
"3.8.1"
]
]
},
{
"name": "numpy",
"specs": [
[
"==",
"1.25.1"
]
]
},
{
"name": "pandas",
"specs": [
[
"==",
"2.0.3"
]
]
},
{
"name": "textblob",
"specs": [
[
"==",
"0.17.1"
]
]
},
{
"name": "transformers",
"specs": [
[
"==",
"4.31.0"
]
]
},
{
"name": "xformers",
"specs": [
[
"==",
"0.0.20"
]
]
},
{
"name": "pytest",
"specs": [
[
"~=",
"7.4.0"
]
]
},
{
"name": "setuptools",
"specs": [
[
"~=",
"68.0.0"
]
]
}
],
"lcname": "rebyu"
}
JSON
