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Sentiment Analysis Model

1 post · Dec 2022

What this trail covers

Hex has evolved its natural language processing capabilities by providing a tutorial on building a sentiment analysis model in Python. This post details the process of using pre-trained models from Huggingface, preprocessing text data, and evaluating model performance. It covers techniques for classifying sentiment as positive, negative, or neutral, and demonstrates how to visualize results and common words associated with each sentiment.

All Hex trails
  1. How to build a sentiment analysis model in PythonThis post introduces a tutorial on building a sentiment analysis model in Python. It demonstrates using Huggingface's `transformers` library with a pre-trained BERT model, loading and preprocessing a dataset of cell phone reviews, predicting sentiment, and evaluating the model's accuracy. It also includes steps for converting star ratings to sentiment labels and visualizing common words per sentiment category.