Sentiment Analysis with LSTM and Keras in Python (Updated)

Sentiment Analysis with LSTM and Keras in Python Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 924 MB Genre: eLearning Video | Duration: 18 lectures (2 hour, 46 mins) | Language: English Learn how to do Sentiment Classification using LSTM in Keras and Python What you'll learn What is Sentiment Analysis What are RNN and LSTMs How to apply LSTM in Keras for Sentiment Analysis Requirements Basic Python programming Description Sentiment analysis ( or opinion mining or emotion AI) refers to the use of natural language processing(NLP), text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine. Simple RNNs are not good in capturing long-term dependencies. In this course we unleash the power of LSTM (Long Short Term memory) using Keras. Who this course is for: Data scientists Machine Learning Engineers Applied Scientists Research Scientists College Students Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

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