منابع مشابه
Intention Extraction from Text Messages
Identifying intentions of users plays a crucial role in providing better user services, such as web-search and automated message-handling. There is a significant literature on extracting speakers’ intentions and speech acts from spoken words, and this paper proposes a novel approach on extracting intentions from non-spoken words, such as web-search query texts, and text messages. Unlike spoken ...
متن کاملInvestigating the Effect of Educational Text Messages on Self-Care in Hypertensive Patients in a Hypertension Clinic in Kerman
Introduction: Self-care in chronic diseases implies the study and control of disease symptoms, maintaining a healthy lifestyle, and daily functioning. The objective of this study was to investigate the effect of educational text messages on self-care in hypertensive patients in one of the hypertension clinics in Kerman in 2020. Method: The statistical population of this quasi-experimental study...
متن کاملInvestigating the Effect of Educational Text Messages on Self-Care in Hypertensive Patients in a Hypertension Clinic in Kerman
Introduction: Self-care in chronic diseases implies the study and control of disease symptoms, maintaining a healthy lifestyle, and daily functioning. The objective of this study was to investigate the effect of educational text messages on self-care in hypertensive patients in one of the hypertension clinics in Kerman in 2020. Method: The statistical population of this quasi-experimental study...
متن کاملText messages could hasten tuberculosis drug compliance.
The treatment for tuberculosis is a combination of strong antibiotics that must be taken daily for at least 6 months. But side-effects, such as nausea and heartburn, dissuade some patients from sticking with the treatment. Other patients endure the side-effects only to drop the medication once they feel better 1 or 2 months into the regimen. The Stop TB Partnership reports that on average 5% of...
متن کاملRecovering dropped pronouns from Chinese text messages
Pronouns are frequently dropped in Chinese sentences, especially in informal data such as text messages. In this work we propose a solution to recover dropped pronouns in SMS data. We manually annotate dropped pronouns in 684 SMS files and apply machine learning algorithms to recover them, leveraging lexical, contextual and syntactic information as features. We believe this is the first work on...
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ژورنال
عنوان ژورنال: Poznań Studies in Contemporary Linguistics
سال: 2007
ISSN: 1897-7499,0137-2459
DOI: 10.2478/v10010-007-0013-4