Enhanced Techniques for Sentiment Analysis Using Deep Learning
Prijzen vanaf
VERGELIJK ALLE AANBIEDERS
(3)
Bol
Sentiment Analysis or opinion mining is an application of natural language processing(NLP) that detects subjective information such as attitude, emotions and feelings in text. Customer's view about a product, company, person, event or service is extracted and categorized using deep neural networks, machine learning and NLP techniques. Different emotions, like happy, sad, disgust, and frustration deciphered from sentiment analysis are classified into labels as positive, neutral and negative.
Lees meer
58,16
Uitgelicht
|
58,16 |
Naar shop
|
|
58,16 |
Naar shop
|
|
59,99 |
Naar shop
|
Beschrijving
Bol
Sentiment Analysis or opinion mining is an application of natural language processing(NLP) that detects subjective information such as attitude, emotions and feelings in text. Customer's view about a product, company, person, event or service is extracted and categorized using deep neural networks, machine learning and NLP techniques. Different emotions, like happy, sad, disgust, and frustration deciphered from sentiment analysis are classified into labels as positive, neutral and negative.
Beschrijving
(2)
Bol
Sentiment Analysis or opinion mining is an application of natural language processing(NLP) that detects subjective information such as attitude, emotions and feelings in text. Customer's view about a product, company, person, event or service is extracted and categorized using deep neural networks, machine learning and NLP techniques. Different emotions, like happy, sad, disgust, and frustration deciphered from sentiment analysis are classified into labels as positive, neutral and negative.
AmazonPagina's: 128, Paperback, LAP LAMBERT Academic Publishing
ProductspecificatiesPrijzen voor het laatst bijgewerkt op:
Gerelateerde producten
Uitgelichte Keuze
58,16
