Sandra Jiménez
Biographic Data
| ID | 10236806 |
|---|---|
| NAME | Sandra Jiménez |
| GIVEN NAMES | Sandra |
| FAMILY NAME | Jiménez |
| SIGNATURE | JIMENEZ S |
| AFFILIATIONS | Universidad de Murcia |
| ORCID | 0000-0002-8626-5936 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Detection of Negative Emotions in Short Texts Using Deep Neural Networks
Emotion detection is crucial in various domains, including psychology, health, social sciences, and marketing. Specifically, in psychology, identifying negative emotions in short Spanish texts, such as tweets, is vital for understanding individuals’ emotional states. However, this process is challenging because of factors such as lack of context, cultural nuances, and ambiguous expressions. Although much research on emotion classification in twee…
Heavy Metals and Trace Elements in Human Breast Milk from Industrial/Mining and Agricultural Zones of Southeastern Spain
Human breast milk is the most complete foodstuff for infants but can also be a potential source of exposure to toxic chemicals. The aim of this study was to assess the levels of metal pollution in the breast milk of women living in agricultural and industrial/mining areas of the Region of Murcia (Spain) that are well known for their cases of environmental pollution. Human milk samples were collected from 50 mothers and inorganic contaminants were…
No prominent works on this page.
Heavy Metals and Trace Elements in Human Breast Milk from Industrial/Mining and Agricultural Zones of Southeastern Spain
Human breast milk is the most complete foodstuff for infants but can also be a potential source of exposure to toxic chemicals. The aim of this study was to assess the levels of metal pollution in the breast milk of women living in agricultural and industrial/mining areas of the Region of Murcia (Spain) that are well known for their cases of environmental pollution. Human milk samples were collected from 50 mothers and inorganic contaminants were…
Detection of Negative Emotions in Short Texts Using Deep Neural Networks
Emotion detection is crucial in various domains, including psychology, health, social sciences, and marketing. Specifically, in psychology, identifying negative emotions in short Spanish texts, such as tweets, is vital for understanding individuals’ emotional states. However, this process is challenging because of factors such as lack of context, cultural nuances, and ambiguous expressions. Although much research on emotion classification in twee…
Agriculture (1 work) · Air Quality and Health Impacts (1 work) · Arsenic (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Biology (1 work) · Breast milk (1 work) · Cadmium (1 work) · Chemistry (1 work) · Cognitive psychology (1 work)