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Sentiment Analysis on Customer Reviews of E-commerce Site

AUTHOR Thakur, Shruti
PUBLISHER LAP Lambert Academic Publishing (05/29/2024)
PRODUCT TYPE Paperback (Paperback)

Description
Sentiment Analysis invokes the study of text analysis, natural language processing, and computational linguistics to scientifically identify, extract, and study subjective information from the textual data. Sentiment analysis is one of the fastest-developing areas in computer science, making it difficult to track every advancement in the discipline. Since everyone has a different perspective on things, sentiment analysis is currently a hot topic. Every user in the modern world uses an internet platform to routinely share their thoughts, opinions, and comments. This type of data can be effectively mined using a variety of machine-learning approaches. Sentiment analysis is the technique of locating and extracting subjective information from source materials using computational linguistics, natural language processing, and text analysis. Reviews and social media are common places where sentiment analysis is used for a range of purposes, from customer service to marketing.
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Product Format
Product Details
ISBN-13: 9786207651214
ISBN-10: 6207651219
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 68
Carton Quantity: 104
Product Dimensions: 6.00 x 0.16 x 9.00 inches
Weight: 0.25 pound(s)
Country of Origin: US
Subject Information
BISAC Categories
Computers | Internet - General
Descriptions, Reviews, Etc.
publisher marketing
Sentiment Analysis invokes the study of text analysis, natural language processing, and computational linguistics to scientifically identify, extract, and study subjective information from the textual data. Sentiment analysis is one of the fastest-developing areas in computer science, making it difficult to track every advancement in the discipline. Since everyone has a different perspective on things, sentiment analysis is currently a hot topic. Every user in the modern world uses an internet platform to routinely share their thoughts, opinions, and comments. This type of data can be effectively mined using a variety of machine-learning approaches. Sentiment analysis is the technique of locating and extracting subjective information from source materials using computational linguistics, natural language processing, and text analysis. Reviews and social media are common places where sentiment analysis is used for a range of purposes, from customer service to marketing.
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Your Price  $55.81
Paperback