menu
{ "item_title" : "Enhanced Techniques for Sentiment Analysis Using Deep Learning", "item_author" : [" Mamatha M", "Thriveni J "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/6/20/911/416/6209114164_b.jpg", "price_data" : { "retail_price" : "70.00", "online_price" : "70.00", "our_price" : "70.00", "club_price" : "70.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Enhanced Techniques for Sentiment Analysis Using Deep Learning|Mamatha M

Enhanced Techniques for Sentiment Analysis Using Deep Learning

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9786209114168
  • ISBN-10: 6209114164
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: October 2025
  • Dimensions: 9 x 6 x 0.3 inches
  • Shipping Weight: 0.4 pounds
  • Page Count: 128

Related Categories

You May Also Like...

    1

BAM Customer Reviews