Sentiment Analysis on Amazon Product Reviews 2022 | Deep Learning with Keras

Sentiment Analysis on Amazon Product Reviews 2022 | Deep Learning with Keras

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In this video lecture we will demonstrate a complete project on how you can train a deep learning model with the help of Keras library on Sentiment Analysis for the Amazon Product review dataset using the local environment. The project starts from the basics of loading the dataset from your current directory, importing it to the Jupyter Notebook in Colab, performing the exploratory data analysis for data cleaning/feature engineering. Then the project focus on splitting the dataset followed by training the model, deploying it and evaluating the customer churn prediction. The project also involves the evaluation of the model performance.

Dataset used in the Lab can be downloaded from the link below:
https://www.cs.jhu.edu/~mdredze/datasets/sentiment/index2.html#:~:text=The%20Multi-Domain%20Sentiment%20Dataset%20contains%20product%20reviews%20taken,can%20be%20converted%20into%20binary%20labels%20if%20needed


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