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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

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