Titlebook: Low Resource Social Media Text Mining; Shriphani Palakodety,Ashiqur R. KhudaBukhsh,Guha J Book 2021 The Author(s), under exclusive license

侵略者

Book 2021cally 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

cardiopulmonary

Shriphani Palakodety,Ashiqur R. KhudaBukhsh,Guha JIntroduces 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

小故事

SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/l/image/588810.jpg

尊嚴(yán)

Fibrinogen

978-981-16-5624-8The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

敲竹杠

Low Resource Social Media Text Mining978-981-16-5625-5Series ISSN 2191-5768 Series E-ISSN 2191-5776

含沙射影

肉身

Introduction,We motivate this book with statistics on the growth of social media platforms in various communities across the globe and provide an outline of the included methods.

倒轉(zhuǎn)

Book 2021owth 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.

6Applepolish