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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks b
US $73.49
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Located in: Fairfield, Ohio, United States
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eBay item number:386717610816
Item specifics
- Condition
- ISBN-13
- 9789811374739
- Book Title
- Visual and Text Sentiment Analysis through Hierarchical Deep Lear
- ISBN
- 9789811374739
- Subject Area
- Computers
- Publication Name
- Visual and Text Sentiment Analysis Through Hierarchical Deep Learning Networks
- Publisher
- Springer
- Item Length
- 9.3 in
- Subject
- System Administration / Storage & Retrieval, Databases / Data Mining, Databases / General
- Publication Year
- 2019
- Series
- Springerbriefs in Computer Science Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Weight
- 16 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xix, 98 Pages
About this product
Product Information
Chapter1. Introduction.- Chapter 2. Current State of Art.- Chapter 3. Literature Review.- Chapter 4. Twitter Datasets Used.- Chapter 5. Visual and Text Sentiment Analysis.- Chapter 6. Experimental Setup: Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks.- Chapter 7. Twitter Datasets Used.- Chapter 8. Experimental Results.- Chapter 9. Conclusion.
Product Identifiers
Publisher
Springer
ISBN-10
9811374732
ISBN-13
9789811374739
eBay Product ID (ePID)
9038412778
Product Key Features
Number of Pages
Xix, 98 Pages
Language
English
Publication Name
Visual and Text Sentiment Analysis Through Hierarchical Deep Learning Networks
Publication Year
2019
Subject
System Administration / Storage & Retrieval, Databases / Data Mining, Databases / General
Type
Textbook
Subject Area
Computers
Series
Springerbriefs in Computer Science Ser.
Format
Trade Paperback
Dimensions
Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Reviews
"Readers interested in sentiment analysis research will find it useful. The research is a good contribution to our understanding of HGFRNNs and the development of a technique for sentiment analysis." (Maulik A. Dave, Computing Reviews, January 25, 2021)
Number of Volumes
1 Vol.
Illustrated
Yes
Lc Classification Number
Qa75.5-76.95
Table of Content
Chapter1. Introduction.- Chapter 2. Current State of Art.- Chapter 3. Literature Review.- Chapter 4. Twitter Datasets Used.- Chapter 5. Visual and Text Sentiment Analysis.- Chapter 6. Experimental Setup: Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks.- Chapter 7. Twitter Datasets Used.- Chapter 8. Experimental Results.- Chapter 9. Conclusion.
Copyright Date
2019
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:386717610816
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Item location:
Fairfield, Ohio, United States
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| Shipping and handling | Each additional item | To | Service | Delivery*See Delivery notes |
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| Free shipping | Free | United States | Economy Shipping | Estimated between Tue, Jul 23 and Fri, Aug 2 to 84606 |
| Handling time |
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| Will ship within 10 business days of receiving cleared payment. The seller has specified an extended handling time for this item. |
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Seller feedback (1,026,656)
i***6 (139)- Feedback left by buyer.
Past year
Verified purchase
Item as described, good price, well packaged, arrived slightly later than hoped (not in time for Christmas ) but the order was placed in a very busy shipping period. No issue with the seller’s speed of response and sending the item. Great seller!
l***a (3536)- Feedback left by buyer.
Past 6 months
Verified purchase
Excellent seller. Timely shipping, safe packing, good communication, great price and as described. Thank you. A+++
o***b (146)- Feedback left by buyer.
Past month
Verified purchase
The seller is one of the best there is - high quality books, reasonable prices, securely packaged.
I do, however, recommend some changes to their shipping - they show a shipper (SortHub) on eBay, but the tracking # they email is for a different carrier. It’s difficult to know where my purchase is.
This time, it was delivered a week late. In the grand scheme of things not a big deal. But it shouldn’t be this difficult to accurately track my purchase.
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