bhadreshpsavani/ExploringSentimentalAnalysis
This Repository Contains Different ways to do sentimental Analysis
This project helps data scientists, machine learning engineers, and NLP practitioners explore and compare various approaches for sentiment analysis. It takes raw text data as input and outputs classifications indicating the sentiment expressed within that text. This is designed for those who need to build or evaluate text sentiment models.
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Use this if you are a data scientist or NLP engineer seeking to understand and compare different embedding and classification techniques for sentiment analysis.
Not ideal if you are a business user looking for an out-of-the-box sentiment analysis tool without needing to delve into model architectures.
Stars
20
Forks
8
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Sep 17, 2022
Commits (30d)
0
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