Review Analysis Made Easy
Project description
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
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
Project details
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