rebyu 0.1.2

Review Analysis Made Easy

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 0.1.0 (Unreleased) - Change Log

pip install -U rebyu

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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.

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Documentation

Documentation	Description
Read the Docs	Official Documentation	Link
Replit Example	Multiple examples to run on Replit	Link

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Author

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