Sentiment Analysis

The project below aims to analyze the sentiment of a text using deep learning, both 2 classes or more, such as positive, neutral, and negative.
The programming language used is python. I use several libraries, such as tensorflow, nltk, scikit-learn, pandas, numpy, and matplotlib.
The sentiment analysis have been carried out, specifically text processing including pre-processing, stemming, lemmatization, tokenization, word embedding with TF-IDF, and some deep learning models of text processing.