Results 41 to 50 of about 43,976,399 (299)
Bag of biterms modeling for short texts [PDF]
Analyzing texts from social media encounters many challenges due to their unique characteristics of shortness, massiveness, and dynamic. Short texts do not provide enough context information, causing the failure of the traditional statistical models.
Anh Phan Tuan +4 more
openaire +4 more sources
Sentiment Analysis of Short Informal Texts
We describe a state-of-the-art sentiment analysis system that detects (a) the sentiment of short informal textual messages such as tweets and SMS (message-level task) and (b) the sentiment of a word or a phrase within a message (term-level task). The system is based on a supervised statistical text classification approach leveraging a variety of ...
Kiritchenko, Svetlana +2 more
openaire +4 more sources
Short Text Similarity with Word Embeddings [PDF]
Determining semantic similarity between texts is important in many tasks in information retrieval such as search, query suggestion, automatic summarization and image finding. Many approaches have been suggested, based on lexical matching, handcrafted patterns, syntactic parse trees, external sources of structured semantic knowledge and distributional ...
Kenter, T., de Rijke, M.
openaire +4 more sources
Call for Participation – Junge Forschung@Text+
Beim 2. Text+ Plenary (28./29. September 2023) treffen sich Mitarbeitende und am NFDI-Konsortium Text+ Interessierte in Göttingen, um sich über Projektfortschritte und aktuelle Entwicklungen auszutauschen.
Text+ Blog-Redaktion
core
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
Clustering of semantically enriched short texts [PDF]
The paper is devoted to the issue of clustering small sets of very short texts. Such texts are often incomplete and highly inconclusive, so establishing a notion of proximity between them is a challenging task. In order to cope with polysemy we adapt the SenseSearcher algorithm (SnS), by Kozlowski and Rybinski in Computational Intelligence 33(3): 335 ...
Marek Kozlowski, Henryk Rybinski
openaire +1 more source
ABSTRACT Background Graft‐versus‐host disease (GvHD) remains one of the most significant complications of hematopoietic stem cell transplantation (HSCT). Abatacept, a selective T‐cell costimulation modulator, is a relatively novel prophylactic agent, though pediatric data remain limited.
Matthijs D. Kruizinga +3 more
wiley +1 more source
2. FID / Text+ Jour Fixe am 17. Mai
Am 17.05.2023 findet auf Zoom von 9.00 bis 12.30 Uhr der 2. FID / Text+ Jour Fixe statt. Das im halbjährlichen Turnus veranstaltete Format zielt speziell auf die Zusammenarbeit zwischen Fachinformationsdiensten und Konsortium ab und möchte einen ...
Text+ Blog-Redaktion
core
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling +2 more
wiley +1 more source
Mining Summary of Short Text with Centroid Similarity Distance
Text summarization aims at producing a concise summary that preserves key information. Many textual inputs are short and do not fit with the standard longer text-based techniques.
Bela Stantic +5 more
core +1 more source

