Sentimental analysis is one of the most important applications of Machine learning. It is used extensively in Netflix and YouTube to suggest videos, Google Search to suggest positive search results in response to a negative term, Uber Eats to suggest delicacies based on your recent activities and others. In this article, we will build a sentiment analyser from scratch using KERAS framework with Python using concepts of LSTM.
Read this article to understand how to build a sentiment analyser from scratch using concepts of Long Short Term Memory (LSTM)
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