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Rebyu (レビュー)

🌟 Review Analysis Made Easy

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

pip install -U rebyu

Concept

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
Replit Example Multiple examples to run on Replit Link

Author

  • Abhishta Gatya (Email) - Software and Machine Learning Engineer

Metadata

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