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Sentiment Analysis with LSTM and Keras in Python

  • Začetnik teme dlreleases
  • Datum pokretanja
D

dlreleases

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MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 15 lectures (2h 15m) | Size: 757 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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Kod:
http://nitroflare.com/view/3AC047328F19A75/FvCrheCd_.Sentiment_.rar
 
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