Low Resource Social Media Text Mining [E-Book] / by Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Guha Jayachandran.
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 signific...
Saved in:
Full text |
|
Personal Name(s): | Palakodety, Shriphani, author |
Jayachandran, Guha, author / KhudaBukhsh, Ashiqur R., author | |
Edition: |
1st edition 2021. |
Imprint: |
Singapore :
Springer,
2021
|
Physical Description: |
XI, 60 pages 14 illustrations, 8 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9789811656255 |
DOI: |
10.1007/978-981-16-5625-5 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
SpringerBriefs in Computer Science
|
Subject (LOC): |
- Chapter 1: Introduction and outline
- Chapter 2: Natural Language Processing Preliminary
- Chapter 3: Low-Resource Multilingual Social Media Text and Challenges
- Chapter4: Robust Language Identification
- Chapter 5: Semantic Sampling
- Chapter6: Unsupervised Machine Translation.