MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 18 lectures (2 hour, 46 mins) | Size: 924 MB
Sennt 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.
What you'll learn
What is Sennt Analysis
What are RNN and LSTMs
How to apply LSTM in Keras for Sennt Analysis
Requirements
Basic Python programming
Description
Sennt 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 Eeers
Applied Scientists
Research Scientists
College Students
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