Sentiment analysis of product reviews in positive and negative with Identification of most reviewed products from Amazon products dataset.
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Out of 37000 reviews, getting most reviewed products with number of reviews for each.
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Do a sentiment analysis on how many reviews are positive and negative based on ratings given by the user.
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Sentiment of reviews were not given beforehand in the dataset, so I took ratings in consideration and marked them Positive (>=3) and Negative (<3).
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Install Jupyter Notebook and Python 3.7
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Install Python libraries mentioned in requirements.txt for this project
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On top of all the requirements mentioned in requirements.txt, follow installation of Huggingface Transformers on your system as sentiment analysis is being done using the transformer.
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Click here for installation instructions:
https://huggingface.co/transformers/installation.html
- Open notebook (.ipynb) from this project with Jupyter Notebook