| 书目名称 | Low Resource Social Media Text Mining |
| 编辑 | Shriphani Palakodety,Ashiqur R. KhudaBukhsh,Guha J |
| 视频video | http://file.papertrans.cn/589/588810/588810.mp4 |
| 概述 | Introduces the various challenges associated with social media content and quantifies these issues.Features methods that are unsupervised or require minimal supervision.Is designed for NLP practitione |
| 丛书名称 | SpringerBriefs in Computer Science |
| 图书封面 |  |
| 描述 | .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 languageskill 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 a |
| 出版日期 | Book 2021 |
| 关键词 | Natural Language Processing; Machine Learning; Text Mining; Social Media; Data Mining |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-5625-5 |
| isbn_softcover | 978-981-16-5624-8 |
| isbn_ebook | 978-981-16-5625-5Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 |
|Archiver|手机版|小黑屋|
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