Sentiment Analysis for Market Prediction Using DE & GA - Tapa blanda

Gupta, Apoorva

 
9783659759888: Sentiment Analysis for Market Prediction Using DE & GA
Tapa blanda
ISBN 10: 3659759880 ISBN 13: 9783659759888
Editorial: LAP LAMBERT Academic Publishing, 2015

Sinopsis

Customers are considered to be the primary areas of concern for increasing the profits and enhanced business solutions in terms of their feedback, responses, likelihood of new purchases and their interest to stay connected with the company through its products and services. In order to attain optimized solutions and more efficient business decisions, computationally intelligent methods are deployed like artificial intelligence, machine learning, optimization algorithms which include differential evolution, genetic algorithms.An advancement incorporating computational intelligence for business intelligence is in predictive analytics. It has been observed that if cloud is a huge pool of database including pictures, videos, text, reviews, sentiment, then at the same time there exist a situation today where the liability and the authenticity of the data available online is challenged.Hence, it has been experimented and successfully calculated that that differential evolution for optimization is beneficial for filtering the reliable sentiments of the customers supporting recommendations in terms of the fitness functions on the basis of the positive and the negative sentiments expressed.

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Reseña del editor

Customers are considered to be the primary areas of concern for increasing the profits and enhanced business solutions in terms of their feedback, responses, likelihood of new purchases and their interest to stay connected with the company through its products and services. In order to attain optimized solutions and more efficient business decisions, computationally intelligent methods are deployed like artificial intelligence, machine learning, optimization algorithms which include differential evolution, genetic algorithms.An advancement incorporating computational intelligence for business intelligence is in predictive analytics. It has been observed that if cloud is a huge pool of database including pictures, videos, text, reviews, sentiment, then at the same time there exist a situation today where the liability and the authenticity of the data available online is challenged.Hence, it has been experimented and successfully calculated that that differential evolution for optimization is beneficial for filtering the reliable sentiments of the customers supporting recommendations in terms of the fitness functions on the basis of the positive and the negative sentiments expressed.

Biografía del autor

Apoorva has completed M.Tech in Computer Science and Engineering from Amity University, India. Her areas of research include Big Data, Robotics, Artificial Intelligence, Predictive Analytics, Security, Data Science. She is pioneer research analyst with a number of research publications.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3659759880
ISBN 13 
9783659759888
Encuadernación
Tapa blanda
Número de páginas
64
Contacto del fabricante
no disponible
Persona responsable
no disponible