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Feature engineering, parameter optimization, and interpretable modeling for accelerometer-based behavior recognition in aviary laying hens. [PDF]

Poult Sci
Yang X, Nie L, Niu Q, Li X, Ma J, Wang C.   +5 more
europepmc   +1 more source

Trends in the use of adult-specific preference-weighted health-related quality of life instruments in clinical trials over the past 50 years: a protocol for a meta-research study using deep learning-based natural language processing and large language models. [PDF]

BMJ Open
Srikhom S, Devlin N, Nghiem N, Nolte S, Vo V, Tran-Duy A.   +5 more
europepmc   +1 more source

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Review of Short-Text Classification

International Journal of Web Information Systems, 2019
PurposeRapid developments in social networks and their usage in everyday life have caused an explosion in the amount of short electronic documents. Thus, the need to classify this type of document based on their content has a significant implication in many applications.
Keng Hoon Gan
exaly   +3 more sources

Short Text Classification: A Survey

Journal of Multimedia, 2014
With the recent explosive growth of e-commerce and online communication, a new genre of text, short text, has been extensively applied in many areas. So many researches focus on short text mining. It is a challenge to classify the short text owing to its natural characters, such as sparseness, large-scale, immediacy, non-standardization.
Ge Song, Yunming Ye, Xiaolin Du, Xiaohui Huang 0003, Shifu Bie   +4 more
openaire   +1 more source

BUAP: Polarity Classification of Short Texts

Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014
We report the results we obtained at the subtask B (Message Polarity Classification) of SemEval 2014 Task 9. The features used for representing the messages were basically trigrams of characters, trigrams of PoS and a number of words selected by means of a graph mining tool.
David Pinto 0001, Darnes Vilariño, Saúl León, Miguel Jasso-Hernández, Cupertino Lucero   +4 more
openaire   +2 more sources

A probabilistic framework for short text classification

2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), 2018
The development of World Wide Web has made it difficult for a user to understand textual data coming from diverse sources. Automatic classification of short text i.e. tweets classification, news headlines classification etc. is one of the severe problem for user to get the right information related to his/her interest. In order to cope with the problem
Mubashir Ali, Shehzad Khalid, Mazhar Iqbal Rana, Fizza Azhar   +3 more
openaire   +2 more sources