{
"item_title" : "Topic Detection and Classification in Social Networks",
"item_author" : [" Dimitrios Milioris "],
"item_description" : "Provides a language-agnostic method for social media text analysis, which is not based on a specific grammar, semantics or machine learning techniquesDetects topics from large text documents and extracts the main opinion without any human intervention Compares a variety of techniques and provides a smooth transition from theory to practice with multiple experiments and results",
"item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/31/966/413/3319664131_b.jpg",
"price_data" : {
"retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Topic Detection and Classification in Social Networks : The Twitter Case
Overview
Provides a language-agnostic method for social media text analysis, which is not based on a specific grammar, semantics or machine learning techniques
Detects topics from large text documents and extracts the main opinion without any human intervention
Compares a variety of techniques and provides a smooth transition from theory to practice with multiple experiments and results
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783319664132
- ISBN-10: 3319664131
- Publisher: Springer
- Publish Date: October 2017
- Dimensions: 9.21 x 6.14 x 0.31 inches
- Shipping Weight: 0.78 pounds
- Page Count: 105
Related Categories
