Results 31 to 40 of about 514,201 (245)

TLATR: Automatic Topic Labeling Using Automatic (Domain-Specific) Term Recognition

IEEE Access, 2021
Topic modeling is a probabilistic graphical model for discovering latent topics in text corpora by using multinomial distributions of topics over words. Topic labeling is used to assign meaningful labels for the discovered topics.
Ciprian-Octavian Truica, Elena-Simona Apostol   +1 more
doaj   +1 more source

Normalized Datasets of Harnack’s Reconstruction of Marcion’s 'Gospel'

Journal of Open Humanities Data, 2021
These two datasets are the first born-digital, normalized, peer-reviewed datasets of Harnack’s classic reconstruction of Marcion’s 'Gospel'. The first consists of human-readable postclassical Greek, the second of lemmatized and morphologically tagged ...
Mark G. Bilby
doaj   +1 more source

Scalable Topical Phrase Mining from Text Corpora

, 2014
While most topic modeling algorithms model text corpora with unigrams, human interpretation often relies on inherent grouping of terms into phrases. As such, we consider the problem of discovering topical phrases of mixed lengths.
El-Kishky, Ahmed, Han, Jiawei, Song, Yanglei, Voss, Clare, Wang, Chi   +4 more
core   +1 more source

Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data [PDF]

, 2016
Scholars often seek to understand topics discussed on Twitter using topic modelling approaches. Several coherence metrics have been proposed for evaluating the coherence of the topics generated by these approaches, including the pre-calculated ...
Fang, Anjie, Habel, Philip, Macdonald, Craig, Ounis, Iadh   +3 more
core   +1 more source

Topic-Weighted Kernels: Text Kernels Integrating Topic Weights and Deep Word Embeddings for Semantic Text Analytics

IEEE Access
Traditional text classification models, such as text kernels, primarily consider the syntactic aspects of text data. This paper introduces Topic-Weighted Kernels, a new text analytics framework that combines global topical themes with word-level ...
Nikhil V. Chandran, V. S. Anoop, S. Asharaf   +2 more
doaj   +1 more source

Using patterns position distribution for software failure detection [PDF]

, 2013
Pattern-based software failure detection is an important topic of research in recent years. In this method, a set of patterns from program execution traces are extracted, and represented as features, while their occurrence frequencies are treated as the ...
Agrawal R., Agrawal R., Bowring J.F., Chandola V., Cheng H., Deshpande M., Dickinson W., Duda R., Gamma E., Han J., Han J., Hutchins M., Liu C., Lo D., Lo D., Lo D., Mannila H., Wang J., Xing Z., Yan X., Yan X.   +20 more
core   +3 more sources

Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing

FEBS Letters, EarlyView.
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley   +1 more source

A Study on Performance Enhancement by Integrating Neural Topic Attention with Transformer-Based Language Model

Applied Sciences
As an extension of the transformer architecture, the BERT model has introduced a new paradigm for natural language processing, achieving impressive results in various downstream tasks.
Taehum Um, Namhyoung Kim
doaj   +1 more source

Topic Detection and Tracking Based on Event Ontology

IEEE Access, 2020
In recent years, Topic Detection and Tracking (TDT) has served as a core technology for searching, organizing and structuring news oriented textual materials from a variety of internet news and social media. The biggest challenges of TDT are the sparsity
Wei Liu, Lei Jiang, Yusen Wu, Tingting Tang, Weimin Li   +4 more
doaj   +1 more source

Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions

FEBS Letters, EarlyView.
Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf, Nicholas F. Downing, Kaitlyn M. Mills, Samuel C. Metcalfe, Alexander E. Kritzer, Lindsey D. Mayo, Peter C. Hollenhorst   +6 more
wiley   +1 more source