Sentiment analysis algorithms and applications: A survey

Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the computational treatment of opinions, sentiments and subjectivity of text. This survey paper tackles a comprehensive overview of the last update in this field. Many recently proposed algorithms' enhancements and various SA applications are investigated and presented briefly in this survey. These articles are categorized according to their contributions in the various SA techniques. The related fields to SA (transfer learning, emotion detection, and building resources) that attracted researchers recently are discussed. The main target of this survey is to give nearly full image of SA techniques and the related fields with brief details. The main contributions of this paper include the sophisticated categorizations of a large number of recent articles and the illustration of the recent trend of research in the sentiment analysis and its related areas

Barriers for administering primary health care services to battered women: Perception of physician and nurses

Background: Violence against women is an important public-health problem that draws attention of a wide spectrum of clinicians. However, multiple barriers undermine the efforts of primary health care workers to properly manage and deal with battered women. Objectives: The aim of the present study was to reveal barriers that might impede administering comprehensive health care to battered women and compare these barriers between nurses and physicians and identify factors affecting such barriers. Methods: A total of 1553 medical staff from 78 primary health care units agreed to share in this study, of these 565 were physicians and 988 were nurses. Results: Barriers related to the battered woman topped the list of ranks for both physicians (93.1 ± 17.4%) and nurses (82.1 ± 29.3%). Institutional barriers (87.2 ± 21.5%), barriers related to the health staff (79.8 ± 20. 5%), and social barriers (77.5 ± 21.7%) followed, respectively, in the rank list of physicians while for the list of nurses, social barriers (75.1 ± 30.1%), institutional barriers (74.3 ± 31.7%) followed with barriers related to health staff (70.0 ± 30.0%) at the bottom of the list. Only duration spent at work and degree of education of nurses were significantly affecting the total barrier score, while these factors had no significant association among physicians. Conclusion: Real barriers exist that might interfere with administering proper comprehensive health care at the primary health care units by both physicians and nurses. This necessitates design of specific programs to improve both the knowledge and skills of the medical staff to deal with violence among women. Also, available resources and infrastructure must be strengthened to face this problem and enable primary health care staff to care for battered women. Keywords: Battered women, Barriers, Physicians, Nurses, Primary health car