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Sentiment Analysis with LSTM Model by Wisnu Trenggono Wirayuda is a document available to read on EtoBox.
What is Sentiment Analysis with LSTM Model about?
This document is a Jupyter notebook that performs sentiment analysis on product reviews. It contains the following: 1) Imports various Python libraries for natural language processing and deep learning. 2) Loads and preprocesses product review text data, removing stopwords, punctuation, lowercase, stemming words. 3) Uses CountVectorizer and Tf-idf to vectorize the text into feature vectors. 4) Splits the data into train and test sets and builds an LSTM neural network model to classify reviews as posi
- Author
- Wisnu Trenggono Wirayuda
- Language
- EN