Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Low Resource Social Media Text MiningISBN13:9789811656248ISBN10:981165624XAuthor:Palakodety, Shriphani (Author), Khudabukhsh, Ashiqur R. (Author), Jayachandran, Guha (Author)Description:This Book Focuses On Methods That Are Unsupervised Or Require Minimal Supervision--Vital In The Low-Resource Domain Over The Past Few Years, Rapid Growth In Internet Access Across The Globe Has Resulted In An Explosion In User-Generated Text Content In Social Media Platforms This Effect Is Significantly Pronounced In Linguistically Diverse Areas Of The World Like South Asia, Where Over 400 Million People Regularly Access Social Media Platforms Youtube, Facebook, And Twitter Report A Monthly Active User Base In Excess Of 200 Million From This Region Natural Language Processing (Nlp) Research And Publicly Available Resources Such As Models And Corpora Prioritize Web Content Authored Primarily By A Western User Base Such Content Is Authored In English By A User Base Fluent In The Language And Can Be Processed By A Broad Range Of Off-The-Shelf Nlp Tools In Contrast, Text From Linguistically Diverse Regions Features High Levels Of Multilinguality, Code-Switching, And Varied Language Skill Levels Resources Like Corpora And Models Are Also Scarce Due To These Factors, Newer Methods Are Needed To Process Such Text This Book Is Designed For Nlp Practitioners Well Versed In Recent Advances In The Field But Unfamiliar With The Landscape Of Low-Resource Multilingual Nlp The Contents Of This Book Introduce The Various Challenges Associated With Social Media Content, Quantify These Issues, And Provide Solutions And Intuition When Possible, The Methods Discussed Are Evaluated On Real-World Social Media Data Sets To Emphasize Their Robustness To The Noisy Nature Of The Social Media Environment On Completion Of The Book, The Reader Will Be Well-Versed With The Complexity Of Text-Mining In Multilingual, Low-Resource Environments; Will Be Aware Of A Broad Set Of Off-The-Shelf Tools That Can Be Applied To Various Problems; And Will Be Able To Conduct Sophisticated Analyses Of Such Text Binding:Paperback, PaperbackPublisher:SpringerPublication Date:2021-10-12Weight:0 lbsDimensions:Number of Pages:Language:English
Price: 68.51 USD
Location: USA
End Time: 2024-11-11T19:58:59.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Low Resource Social Media Text Mining
Item Length: 9.3in
Item Width: 6.1in
Author: Shriphani Palakodety, Ashiqur R. Khudabukhsh, Guha Jayachandran
Publication Name: Low Resource Social Media Text Mining
Format: Trade Paperback
Language: English
Publisher: Springer
Publication Year: 2021
Series: Springerbriefs in Computer Science Ser.
Type: Textbook
Item Weight: 4.6 Oz
Number of Pages: Xi, 60 Pages