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Text-Sentiment-Analysis-With-Spark

This repository contains a project for performing text sentiment analysis using Apache Spark and the BERT (Bidirectional Encoder Representations from Transformers) model. The goal is to efficiently analyze large volumes of text data and accurately classify sentiments, leveraging the scalability of Spark and the advanced capabilities of BERT.

I run these files on Kaggle :)

Demo for this repository: https://huggingface.co/spaces/Smrfhdl/bigdataproject

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This repository contains a project for performing text sentiment analysis using Apache Spark and the BERT (Bidirectional Encoder Representations from Transformers) model. The goal is to efficiently analyze large volumes of text data and accurately classify sentiments, leveraging the scalability of Spark and the advanced capabilities of BERT.

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