Sentiment Analysis – One of the most popular projects in the industry. Every customer-facing industry (retail, telecom, finance, etc.) is interested in identifying their customers’ sentiment, whether they think positive or negative about them.
Python sentiment analysis is a methodology for analyzing a piece of text to discover the sentiment hidden within it. It accomplishes this by combining machine learning and natural language processing (NLP). Sentiment analysis allows you to examine the feelings expressed in a piece of text.
About Sentiment Analysis
In this machine learning project, we build a binary text classifier to classify the sentiment behind the text. We use the various NLP preprocessing techniques to clean the data and utilize the LSTM layers to build the text classifier.
Python Sentiment Analysis Dataset
The dataset contains more than 14000 tweets data samples classified into 3 types: positive, negative, neutral